From a29925b104372ade5b00f5afaf5ef0137514b7a7 Mon Sep 17 00:00:00 2001 From: Daniel Bojar Date: Mon, 11 Mar 2024 11:40:08 +0100 Subject: [PATCH] add get_match_batch --- 03_motif.ipynb | 6758 +++++++++++++++++++------------------- glycowork/motif/regex.py | 15 + 2 files changed, 3422 insertions(+), 3351 deletions(-) diff --git a/03_motif.ipynb b/03_motif.ipynb index 9935d84b..ef0267de 100644 --- a/03_motif.ipynb +++ b/03_motif.ipynb @@ -156,171 +156,171 @@ "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", - "\n", - "\n", + "\n", + "\n", "β 4\n", "\n", - "\n", - "\n", + "\n", + "\n", "β 4\n", "\n", - "\n", - "\n", + "\n", + "\n", "α 3\n", "\n", - "\n", - "\n", + "\n", + "\n", "β 2\n", "\n", - "\n", - "\n", + "\n", + "\n", "β 4\n", "\n", - "\n", - "\n", + "\n", + "\n", "α 3\n", "\n", - "\n", - "\n", + "\n", + "\n", "β 2\n", "\n", - "\n", - "\n", + "\n", + "\n", "β 4\n", "\n", - "\n", - "\n", + "\n", + "\n", "α 6\n", "\n", - "\n", - "\n", + "\n", + "\n", "α 3\n", "\n", - "\n", - "\n", + "\n", + "\n", "β 4\n", "\n", - "\n", - "\n", + "\n", + "\n", "α 6\n", "\n", - "\n", - "\n", + "\n", + "\n", "α 6\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", "" ], @@ -594,93 +594,93 @@ "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 motifpvalcorr_pvaleffect_sizemotifpvalcorr_pvaleffect_size
4GlcNAc0.0381200.2058491.5309054GlcNAc0.0381200.2058491.530905
8Man0.0543560.2349901.3902538Man0.0543560.2349901.390253
25Man(a1-?)Man0.0609230.2349901.30833325Man(a1-?)Man0.0609230.2349901.308333
10Man(a1-3)Man0.0342120.2058491.19658610Man(a1-3)Man0.0342120.2058491.196586
11Man(a1-6)Man0.0195430.1758851.16881511Man(a1-6)Man0.0195430.1758851.168815
13Man(b1-4)GlcNAc0.0195430.1758851.16881513Man(b1-4)GlcNAc0.0195430.1758851.168815
14GlcNAc(b1-4)GlcNAc0.0195430.1758851.16881514GlcNAc(b1-4)GlcNAc0.0195430.1758851.168815
7Kdo0.3287900.479672-0.8116797Kdo0.3287900.479672-0.811679
2Glc0.6441800.668956-0.8116792Glc0.6441800.668956-0.811679
16Man(a1-2)Man0.1774610.4796720.77232016Man(a1-2)Man0.1774610.4796720.772320
\n" @@ -1183,145 +1183,145 @@ " \n", " 5\n", " GlcNAc\n", - " 9.584709\n", - " 1.824652\n", - " 2.500366e-07\n", + " 9.596618\n", + " 1.826949\n", + " 2.259941e-07\n", " 0.000003\n", " True\n", - " 0.979367\n", - " 78.623539\n", + " 0.987356\n", + " 78.201945\n", " \n", " \n", " 1\n", " GlcNAc(b1-4)GlcNAc\n", - " 4.792354\n", - " 1.824652\n", - " 1.265492e-05\n", - " 0.000082\n", + " 4.798309\n", + " 1.826949\n", + " 1.962754e-05\n", + " 0.000128\n", " True\n", - " 0.979367\n", - " 27.094229\n", + " 0.987356\n", + " 28.137914\n", " \n", " \n", - " 3\n", - " Man(a1-3)Man\n", - " 6.142964\n", - " 1.574176\n", - " 2.676486e-04\n", - " 0.001160\n", + " 0\n", + " core_fucose(a1-3)\n", + " 1.741141\n", + " 2.039739\n", + " 4.045966e-04\n", + " 0.001315\n", " True\n", - " 0.979367\n", - " 20.384142\n", + " 0.987356\n", + " 9.096620\n", " \n", " \n", - " 0\n", - " core_fucose(a1-3)\n", - " 1.739182\n", - " 2.037718\n", - " 4.227562e-04\n", - " 0.001374\n", + " 3\n", + " Man(a1-3)Man\n", + " 6.150253\n", + " 1.576461\n", + " 3.644697e-04\n", + " 0.001315\n", " True\n", - " 0.979367\n", - " 8.864403\n", + " 0.987356\n", + " 20.784179\n", " \n", " \n", " 9\n", " Man\n", - " 20.131454\n", - " 1.652491\n", - " 6.715948e-04\n", - " 0.001746\n", + " 20.155983\n", + " 1.654806\n", + " 7.014180e-04\n", + " 0.001824\n", " True\n", - " 0.979367\n", - " 12.106645\n", + " 0.987356\n", + " 12.142942\n", " \n", " \n", " 8\n", " betaGlucan\n", - " 3.886042\n", - " -4.322476\n", - " 1.364805e-03\n", - " 0.002957\n", + " 3.873148\n", + " -4.426713\n", + " 1.481687e-03\n", + " 0.003210\n", " True\n", - " 0.979367\n", - " -7.236627\n", + " 0.987356\n", + " -7.462426\n", " \n", " \n", " 7\n", " Man(a1-?)Man\n", - " 15.339100\n", - " 1.600850\n", - " 2.074738e-03\n", - " 0.003853\n", + " 15.357674\n", + " 1.603172\n", + " 2.051751e-03\n", + " 0.003334\n", " True\n", - " 0.979367\n", - " 11.851602\n", + " 0.987356\n", + " 11.844665\n", " \n", " \n", " 11\n", " Glc(b1-3)Glc\n", - " 7.772084\n", - " -4.322476\n", - " 2.537008e-03\n", - " 0.004123\n", + " 7.746296\n", + " -4.426713\n", + " 1.820805e-03\n", + " 0.003334\n", " True\n", - " 0.979367\n", - " -7.390136\n", + " 0.987356\n", + " -7.812360\n", " \n", " \n", " 10\n", " Kdo\n", - " 7.275102\n", - " -2.945329\n", - " 3.043458e-03\n", - " 0.004396\n", + " 7.276010\n", + " -2.943763\n", + " 2.870318e-03\n", + " 0.004146\n", " True\n", - " 0.979367\n", - " -5.237034\n", + " 0.987356\n", + " -5.317797\n", " \n", " \n", " 6\n", " Kdo(a2-?)Kdo\n", - " 4.850068\n", - " -2.945329\n", - " 5.010947e-03\n", - " 0.006514\n", + " 4.850673\n", + " -2.943763\n", + " 4.576419e-03\n", + " 0.005949\n", " True\n", - " 0.979367\n", - " -4.621138\n", + " 0.987356\n", + " -4.706003\n", " \n", " \n", - " 2\n", - " Man(a1-2)Man\n", - " 4.403782\n", - " 1.410550\n", - " 7.083175e-03\n", - " 0.007673\n", + " 12\n", + " Glc\n", + " 11.619444\n", + " -4.426713\n", + " 5.459163e-03\n", + " 0.006452\n", " True\n", - " 0.979367\n", - " 8.130539\n", + " 0.987356\n", + " -7.305951\n", " \n", " \n", - " 12\n", - " Glc\n", - " 11.658126\n", - " -4.322476\n", - " 6.844472e-03\n", - " 0.007673\n", + " 2\n", + " Man(a1-2)Man\n", + " 4.409112\n", + " 1.412951\n", + " 7.220569e-03\n", + " 0.007822\n", " True\n", - " 0.979367\n", - " -6.889209\n", + " 0.987356\n", + " 8.169333\n", " \n", " \n", " 4\n", " GalNAc(a1-4)GlcNAcA\n", - " 2.425034\n", - " -2.945329\n", - " 2.185708e-02\n", - " 0.021857\n", + " 2.425337\n", + " -2.943763\n", + " 1.936850e-02\n", + " 0.019368\n", " True\n", - " 0.979367\n", - " -3.159476\n", + " 0.987356\n", + " -3.233596\n", " \n", " \n", "\n", @@ -1329,34 +1329,34 @@ ], "text/plain": [ " Glycan Mean abundance Log2FC p-val corr p-val \\\n", - "5 GlcNAc 9.584709 1.824652 2.500366e-07 0.000003 \n", - "1 GlcNAc(b1-4)GlcNAc 4.792354 1.824652 1.265492e-05 0.000082 \n", - "3 Man(a1-3)Man 6.142964 1.574176 2.676486e-04 0.001160 \n", - "0 core_fucose(a1-3) 1.739182 2.037718 4.227562e-04 0.001374 \n", - "9 Man 20.131454 1.652491 6.715948e-04 0.001746 \n", - "8 betaGlucan 3.886042 -4.322476 1.364805e-03 0.002957 \n", - "7 Man(a1-?)Man 15.339100 1.600850 2.074738e-03 0.003853 \n", - "11 Glc(b1-3)Glc 7.772084 -4.322476 2.537008e-03 0.004123 \n", - "10 Kdo 7.275102 -2.945329 3.043458e-03 0.004396 \n", - "6 Kdo(a2-?)Kdo 4.850068 -2.945329 5.010947e-03 0.006514 \n", - "2 Man(a1-2)Man 4.403782 1.410550 7.083175e-03 0.007673 \n", - "12 Glc 11.658126 -4.322476 6.844472e-03 0.007673 \n", - "4 GalNAc(a1-4)GlcNAcA 2.425034 -2.945329 2.185708e-02 0.021857 \n", + "5 GlcNAc 9.596618 1.826949 2.259941e-07 0.000003 \n", + "1 GlcNAc(b1-4)GlcNAc 4.798309 1.826949 1.962754e-05 0.000128 \n", + "0 core_fucose(a1-3) 1.741141 2.039739 4.045966e-04 0.001315 \n", + "3 Man(a1-3)Man 6.150253 1.576461 3.644697e-04 0.001315 \n", + "9 Man 20.155983 1.654806 7.014180e-04 0.001824 \n", + "8 betaGlucan 3.873148 -4.426713 1.481687e-03 0.003210 \n", + "7 Man(a1-?)Man 15.357674 1.603172 2.051751e-03 0.003334 \n", + "11 Glc(b1-3)Glc 7.746296 -4.426713 1.820805e-03 0.003334 \n", + "10 Kdo 7.276010 -2.943763 2.870318e-03 0.004146 \n", + "6 Kdo(a2-?)Kdo 4.850673 -2.943763 4.576419e-03 0.005949 \n", + "12 Glc 11.619444 -4.426713 5.459163e-03 0.006452 \n", + "2 Man(a1-2)Man 4.409112 1.412951 7.220569e-03 0.007822 \n", + "4 GalNAc(a1-4)GlcNAcA 2.425337 -2.943763 1.936850e-02 0.019368 \n", "\n", " significant corr Levene p-val Effect size \n", - "5 True 0.979367 78.623539 \n", - "1 True 0.979367 27.094229 \n", - "3 True 0.979367 20.384142 \n", - "0 True 0.979367 8.864403 \n", - "9 True 0.979367 12.106645 \n", - "8 True 0.979367 -7.236627 \n", - "7 True 0.979367 11.851602 \n", - "11 True 0.979367 -7.390136 \n", - "10 True 0.979367 -5.237034 \n", - "6 True 0.979367 -4.621138 \n", - "2 True 0.979367 8.130539 \n", - "12 True 0.979367 -6.889209 \n", - "4 True 0.979367 -3.159476 " + "5 True 0.987356 78.201945 \n", + "1 True 0.987356 28.137914 \n", + "0 True 0.987356 9.096620 \n", + "3 True 0.987356 20.784179 \n", + "9 True 0.987356 12.142942 \n", + "8 True 0.987356 -7.462426 \n", + "7 True 0.987356 11.844665 \n", + "11 True 0.987356 -7.812360 \n", + "10 True 0.987356 -5.317797 \n", + "6 True 0.987356 -4.706003 \n", + "12 True 0.987356 -7.305951 \n", + "2 True 0.987356 8.169333 \n", + "4 True 0.987356 -3.233596 " ] }, "execution_count": null, @@ -1456,7 +1456,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1705,7 +1705,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1784,7 +1784,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1913,92 +1913,92 @@ " \n", " 10\n", " GlcNAc\n", - " 739.463080\n", - " 8.575956e-07\n", + " 730.359630\n", + " 8.899306e-07\n", " True\n", " \n", " \n", " 8\n", " GlcNAc(b1-4)GlcNAc\n", - " 479.123523\n", - " 1.566037e-06\n", + " 449.698881\n", + " 1.891685e-06\n", " True\n", " \n", " \n", " 9\n", " Man(a1-3)Man\n", - " 291.815905\n", - " 4.565971e-06\n", + " 279.622740\n", + " 5.182801e-06\n", " True\n", " \n", " \n", " 11\n", " Man(a1-?)Man\n", - " 123.791921\n", - " 4.089818e-05\n", + " 124.275815\n", + " 4.050943e-05\n", " True\n", " \n", " \n", " 12\n", " Man\n", - " 116.732219\n", - " 4.089818e-05\n", + " 117.114009\n", + " 4.050943e-05\n", " True\n", " \n", " \n", " 0\n", " betaGlucan\n", - " 81.127330\n", - " 8.523107e-05\n", + " 75.689747\n", + " 9.004564e-05\n", " True\n", " \n", " \n", " 6\n", " core_fucose(a1-3)\n", - " 79.894812\n", - " 8.523107e-05\n", + " 75.892020\n", + " 9.004564e-05\n", " True\n", " \n", " \n", " 7\n", " Man(a1-2)Man\n", - " 77.144380\n", - " 8.523107e-05\n", + " 76.110430\n", + " 9.004564e-05\n", " True\n", " \n", " \n", " 1\n", " Glc(b1-3)Glc\n", - " 70.590775\n", - " 9.785758e-05\n", + " 64.130533\n", + " 1.289153e-04\n", " True\n", " \n", " \n", " 2\n", " Glc\n", - " 58.797172\n", - " 1.487309e-04\n", + " 53.495620\n", + " 1.946538e-04\n", " True\n", " \n", " \n", " 5\n", " Kdo\n", - " 32.866256\n", - " 6.916021e-04\n", + " 32.071416\n", + " 7.396981e-04\n", " True\n", " \n", " \n", " 4\n", " Kdo(a2-?)Kdo\n", - " 27.667883\n", - " 1.014085e-03\n", + " 26.908469\n", + " 1.093310e-03\n", " True\n", " \n", " \n", " 3\n", " GalNAc(a1-4)GlcNAcA\n", - " 18.695770\n", - " 2.643861e-03\n", + " 18.062348\n", + " 2.889638e-03\n", " True\n", " \n", " \n", @@ -2007,19 +2007,19 @@ ], "text/plain": [ " Glycan F statistic corr p-val significant\n", - "10 GlcNAc 739.463080 8.575956e-07 True\n", - "8 GlcNAc(b1-4)GlcNAc 479.123523 1.566037e-06 True\n", - "9 Man(a1-3)Man 291.815905 4.565971e-06 True\n", - "11 Man(a1-?)Man 123.791921 4.089818e-05 True\n", - "12 Man 116.732219 4.089818e-05 True\n", - "0 betaGlucan 81.127330 8.523107e-05 True\n", - "6 core_fucose(a1-3) 79.894812 8.523107e-05 True\n", - "7 Man(a1-2)Man 77.144380 8.523107e-05 True\n", - "1 Glc(b1-3)Glc 70.590775 9.785758e-05 True\n", - "2 Glc 58.797172 1.487309e-04 True\n", - "5 Kdo 32.866256 6.916021e-04 True\n", - "4 Kdo(a2-?)Kdo 27.667883 1.014085e-03 True\n", - "3 GalNAc(a1-4)GlcNAcA 18.695770 2.643861e-03 True" + "10 GlcNAc 730.359630 8.899306e-07 True\n", + "8 GlcNAc(b1-4)GlcNAc 449.698881 1.891685e-06 True\n", + "9 Man(a1-3)Man 279.622740 5.182801e-06 True\n", + "11 Man(a1-?)Man 124.275815 4.050943e-05 True\n", + "12 Man 117.114009 4.050943e-05 True\n", + "0 betaGlucan 75.689747 9.004564e-05 True\n", + "6 core_fucose(a1-3) 75.892020 9.004564e-05 True\n", + "7 Man(a1-2)Man 76.110430 9.004564e-05 True\n", + "1 Glc(b1-3)Glc 64.130533 1.289153e-04 True\n", + "2 Glc 53.495620 1.946538e-04 True\n", + "5 Kdo 32.071416 7.396981e-04 True\n", + "4 Kdo(a2-?)Kdo 26.908469 1.093310e-03 True\n", + "3 GalNAc(a1-4)GlcNAcA 18.062348 2.889638e-03 True" ] }, "execution_count": null, @@ -2902,652 +2902,652 @@ "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 Terminal_LewisXInternal_LewisXLewisYSialylLewisXSulfoSialylLewisXTerminal_LewisAInternal_LewisALewisBSialylLewisASulfoLewisAH_type2H_type1A_antigenB_antigenGalili_antigenGloboHGb5Gb4Gb33SGb38DSGb33SGb48DSGb46DSGb43SGb58DSGb56DSGb56DSGb5_26SGb38DSGb3_26SGb48DSGb4_26SGb58DSGb5_266DSGb5Forssman_antigeniGb3I_antigeni_antigenPI_antigenChitobioseTrimannosylcoreInternal_LacNAc_type1Terminal_LacNAc_type1Internal_LacNAc_type2Terminal_LacNAc_type2Internal_LacdiNAc_type1Terminal_LacdiNAc_type1Internal_LacdiNAc_type2Terminal_LacdiNAc_type2bisectingGlcNAcVIMPolyLacNAcGanglio_SeriesLacto_Series(LewisC)NeoLacto_SeriesbetaGlucanKeratanSulfateHyluronanMollu_seriesArthro_seriesCellulose_likeChondroitin_4SGPI_anchorIsoglobo_seriesLewisDGlobo_seriesSdaSDAMuco_seriesHeparinPeptidoglycanDermatansulfateCADLactosylceramideLactotriaosylceramideLexLexGM3H_type3GM2GM1cisGM1VIM2GD3GD1aGD2GD1bSDLexNglycolyl_GM2Fuc_LN3GT1bGD1GD1a_2LcGg4GT3Disialyl_T_antigenGT1aGT2GT1c2Fuc_GM1GQ1cO_linked_mannoseGT1aaGQ1bHNK1GQ1baO_mannose_Lex2Fuc_GD1bSialopentaosylceramideSulfogangliotetraosylceramideB-GM1GQ1aabisSulfo-Lewis xpara-Forssmancore_fucosecore_fucose(a1-3)GP1cB-GD1bGP1caIsoglobotetraosylceramidepolySiahigh_mannoseGala_seriesLPS_coreNglycan_complexNglycan_complex2Oglycan_core1Oglycan_core2Oglycan_core3Oglycan_core4Oglycan_core5Oglycan_core6Oglycan_core7XylogalacturonanSialosylparaglobosideLDNFOFucArabinogalactan_type2EGF_repeat Nglycan_hybridArabinanXyloglucanAcharan_SulfateM3FXM3X1-6betaGalactanArabinogalactan_type1GalactomannanTetraantennary_NglycanMucin_elongated_core2FucoidanAlginateFGXXDifucosylated_coreGalFuc_coreTerminal_LewisXInternal_LewisXLewisYSialylLewisXSulfoSialylLewisXTerminal_LewisAInternal_LewisALewisBSialylLewisASulfoLewisAH_type2H_type1A_antigenB_antigenGalili_antigenGloboHGb5Gb4Gb33SGb38DSGb33SGb48DSGb46DSGb43SGb58DSGb56DSGb56DSGb5_26SGb38DSGb3_26SGb48DSGb4_26SGb58DSGb5_266DSGb5Forssman_antigeniGb3I_antigeni_antigenPI_antigenChitobioseTrimannosylcoreInternal_LacNAc_type1Terminal_LacNAc_type1Internal_LacNAc_type2Terminal_LacNAc_type2Internal_LacdiNAc_type1Terminal_LacdiNAc_type1Internal_LacdiNAc_type2Terminal_LacdiNAc_type2bisectingGlcNAcVIMPolyLacNAcGanglio_SeriesLacto_Series(LewisC)NeoLacto_SeriesbetaGlucanKeratanSulfateHyluronanMollu_seriesArthro_seriesCellulose_likeChondroitin_4SGPI_anchorIsoglobo_seriesLewisDGlobo_seriesSdaSDAMuco_seriesHeparinPeptidoglycanDermatansulfateCADLactosylceramideLactotriaosylceramideLexLexGM3H_type3GM2GM1cisGM1VIM2GD3GD1aGD2GD1bSDLexNglycolyl_GM2Fuc_LN3GT1bGD1GD1a_2LcGg4GT3Disialyl_T_antigenGT1aGT2GT1c2Fuc_GM1GQ1cO_linked_mannoseGT1aaGQ1bHNK1GQ1baO_mannose_Lex2Fuc_GD1bSialopentaosylceramideSulfogangliotetraosylceramideB-GM1GQ1aabisSulfo-Lewis xpara-Forssmancore_fucosecore_fucose(a1-3)GP1cB-GD1bGP1caIsoglobotetraosylceramidepolySiahigh_mannoseGala_seriesLPS_coreNglycan_complexNglycan_complex2Oglycan_core1Oglycan_core2Oglycan_core3Oglycan_core4Oglycan_core5Oglycan_core6Oglycan_core7XylogalacturonanSialosylparaglobosideLDNFOFucArabinogalactan_type2EGF_repeat Nglycan_hybridArabinanXyloglucanAcharan_SulfateM3FXM3X1-6betaGalactanArabinogalactan_type1GalactomannanTetraantennary_NglycanMucin_elongated_core2FucoidanAlginateFGXXDifucosylated_coreGalFuc_core
Man(a1-3)[Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAc000000000000000000000000000000000000000011000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000001000000000000Man(a1-3)[Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAc000000000000000000000000000000000000000011000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000001000000000000
Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc000000000000000000000000000000000000000011000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc000000000000000000000000000000000000000011000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
GalNAc(a1-4)GlcNAcA(a1-4)[GlcN(b1-7)]Kdo(a2-5)[Kdo(a2-4)]Kdo(a2-6)GlcN4P(b1-6)GlcN4P000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000GalNAc(a1-4)GlcNAcA(a1-4)[GlcN(b1-7)]Kdo(a2-5)[Kdo(a2-4)]Kdo(a2-6)GlcN4P(b1-6)GlcN4P000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
\n" @@ -4049,120 +4049,120 @@ "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 Man(a1-3)[Man(a1-6)]ManMan(a1-3)[Xyl(b1-2)]ManMan(a1-3)Man(b1-4)GlcNAcMan(a1-6)[Xyl(b1-2)]ManMan(a1-6)Man(b1-4)GlcNAcXyl(b1-2)Man(b1-4)GlcNAcMan(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-2)Man(a1-2)ManMan(a1-2)Man(a1-3)ManMan(a1-3)Man(a1-6)ManGalNAc(a1-4)GlcNAcA(a1-4)KdoGlcNAcA(a1-4)[GlcN(b1-7)]KdoGlcNAcA(a1-4)Kdo(a2-5)KdoGlcN(b1-7)Kdo(a2-5)Kdo]Kdo(a2-5)[Kdo(a2-4)]KdoKdo(a2-5)Kdo(a2-6)GlcN4PKdo(a2-4)Kdo(a2-6)GlcN4PKdo(a2-6)GlcN4P(b1-6)GlcN4PMan(a1-?)[Xyl(b1-?)]ManMan(a1-?)Man(b1-?)GlcNAcMan(a1-?)Man(a1-?)ManKdo(a2-?)Kdo(a2-?)GlcN4PMan(a1-3)[Man(a1-6)]ManMan(a1-3)[Xyl(b1-2)]ManMan(a1-3)Man(b1-4)GlcNAcMan(a1-6)[Xyl(b1-2)]ManMan(a1-6)Man(b1-4)GlcNAcXyl(b1-2)Man(b1-4)GlcNAcMan(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-2)Man(a1-2)ManMan(a1-2)Man(a1-3)ManMan(a1-3)Man(a1-6)ManGalNAc(a1-4)GlcNAcA(a1-4)KdoGlcNAcA(a1-4)[GlcN(b1-7)]KdoGlcNAcA(a1-4)Kdo(a2-5)KdoGlcN(b1-7)Kdo(a2-5)Kdo]Kdo(a2-5)[Kdo(a2-4)]KdoKdo(a2-5)Kdo(a2-6)GlcN4PKdo(a2-4)Kdo(a2-6)GlcN4PKdo(a2-6)GlcN4P(b1-6)GlcN4PMan(a1-?)[Xyl(b1-?)]ManMan(a1-?)Man(b1-?)GlcNAcMan(a1-?)Man(a1-?)ManKdo(a2-?)Kdo(a2-?)GlcN4P
011111111000000000002200011111111000000000002200
100101010112000000000240100101010112000000000240
200000000000111111110002200000000000111111110002
\n" @@ -4332,60 +4332,60 @@ "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 chargetpsacovalent_unit_countdefined_bond_stereo_countexact_massheavy_atom_countcomplexitymonoisotopic_massrotatable_bond_countxlogpbond_stereo_counth_bond_donor_countmolecular_weightdefined_atom_stereo_countatom_stereo_countundefined_bond_stereo_countisotope_atom_countundefined_atom_stereo_counth_bond_acceptor_countmonoisotopic_masscomplexityundefined_atom_stereo_counth_bond_donor_countdefined_bond_stereo_countchargedefined_atom_stereo_countheavy_atom_countxlogpexact_massbond_stereo_counth_bond_acceptor_countisotope_atom_countatom_stereo_counttpsacovalent_unit_countundefined_bond_stereo_countmolecular_weightrotatable_bond_count
Neu5Ac(a2-3)Gal(b1-4)GlcNAc(b1-2)Man(a1-3)[Neu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc01070102222.783004815244102222.783004843-23.6000000392224.0565700162Neu5Ac(a2-3)Gal(b1-4)GlcNAc(b1-2)Man(a1-3)[Neu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc2222.783004844101390056152-23.6000002222.78300480620571070102224.043
\n" @@ -4587,7 +4587,7 @@ "| :-\n", "| glycan_a (string or networkx object): glycan in IUPAC-condensed format or as a precomputed networkx object\n", "| glycan_b (stringor networkx object): glycan in IUPAC-condensed format or as a precomputed networkx object\n", - "| wildcards_ptm (bool): set to True to allow modification wildcards (e.g., 'OS' matching with '6S'), only works when strings are provided; default:False\n", + "| wildcards_ptm (bool): set to True to allow modification wildcards (e.g., 'OS' matching with '6S'):False\n", "\n", "| Returns:\n", "| :-\n", @@ -4606,7 +4606,7 @@ "| :-\n", "| glycan_a (string or networkx object): glycan in IUPAC-condensed format or as a precomputed networkx object\n", "| glycan_b (stringor networkx object): glycan in IUPAC-condensed format or as a precomputed networkx object\n", - "| wildcards_ptm (bool): set to True to allow modification wildcards (e.g., 'OS' matching with '6S'), only works when strings are provided; default:False\n", + "| wildcards_ptm (bool): set to True to allow modification wildcards (e.g., 'OS' matching with '6S'):False\n", "\n", "| Returns:\n", "| :-\n", @@ -4667,7 +4667,7 @@ "| motif (string or networkx): glycan motif in IUPAC-condensed format or as graph in NetworkX format\n", "| termini_list (list): list of monosaccharide positions (from 'terminal', 'internal', and 'flexible')\n", "| count (bool): whether to return the number or absence/presence of motifs; default:False\n", - "| wildcards_ptm (bool): set to True to allow modification wildcards (e.g., 'OS' matching with '6S'), only works when strings are provided; default:False\n", + "| wildcards_ptm (bool): set to True to allow modification wildcards (e.g., 'OS' matching with '6S'); default:False\n", "| return_matches (bool): whether the matched subgraphs in input glycan should be returned as node lists as an additional output; default:False\n", "\n", "| Returns:\n", @@ -4690,7 +4690,7 @@ "| motif (string or networkx): glycan motif in IUPAC-condensed format or as graph in NetworkX format\n", "| termini_list (list): list of monosaccharide positions (from 'terminal', 'internal', and 'flexible')\n", "| count (bool): whether to return the number or absence/presence of motifs; default:False\n", - "| wildcards_ptm (bool): set to True to allow modification wildcards (e.g., 'OS' matching with '6S'), only works when strings are provided; default:False\n", + "| wildcards_ptm (bool): set to True to allow modification wildcards (e.g., 'OS' matching with '6S'); default:False\n", "| return_matches (bool): whether the matched subgraphs in input glycan should be returned as node lists as an additional output; default:False\n", "\n", "| Returns:\n", @@ -5528,460 +5528,460 @@ "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -6432,1788 +6432,1788 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
glycanApif(a1-2)Xyl(b1-2)[Glc6Ac(b1-4)]GlcAra(a1-2)Ara(a1-6)GlcNAcAra(a1-2)Glc(b1-2)AraAra(a1-2)GlcAAra(a1-2)[Glc(b1-6)]GlcAra(a1-6)GlcAraf(a1-3)Araf(a1-5)[Araf(a1-6)Gal(b1-6)Glc(b1-6)Man(a1-3)]Araf(a1-5)Araf(a1-3)Araf(a1-3)ArafAraf(a1-3)Gal(b1-6)GalD-Apif(b1-2)GlcD-Apif(b1-2)GlcAD-Apif(b1-3)Xyl(b1-2)[Glc6Ac(b1-4)]GlcD-Apif(b1-3)Xyl(b1-4)Rha(a1-2)AraD-Apif(b1-3)Xyl(b1-4)Rha(a1-2)D-FucD-Apif(b1-3)Xyl(b1-4)[Glc(b1-3)]Rha(a1-2)D-FucD-Apif(b1-3)[Gal(b1-4)Xyl(b1-4)]Rha(a1-2)D-FucD-Apif(b1-3)[Gal(b1-4)Xyl(b1-4)]Rha(a1-2)[Rha(a1-3)]D-FucD-Apif(b1-3)[Gal(b1-4)Xyl(b1-4)]Rha(a1-3)D-FucD-Apif(b1-6)GlcD-ApifOMe(b1-3)XylOMe(b1-4)RhaOMe(a1-2)D-FucOMeD-ApifOMe(b1-3)XylOMe(b1-4)[GlcOMe(b1-3)]RhaOMe(a1-2)D-FucOMeFruf(a2-1)[Glc(b1-2)][Glc(b1-3)Glc4Ac6Ac(b1-3)]GlcFruf(a2-1)[Glc(b1-2)][Glc(b1-3)Glc4Ac6Ac(b1-3)]Glc6AcFruf(a2-1)[Glc(b1-2)][Glc(b1-3)Glc6Ac(b1-3)]GlcFruf(a2-1)[Glc(b1-2)][Glc(b1-3)Glc6Ac(b1-3)]Glc6AcFruf(b2-1)Glc3Ac6AcFruf(b2-1)Glc4Ac6AcFruf(b2-1)Glc6AcFruf(b2-1)[Glc(b1-2)]GlcFruf(b2-1)[Glc(b1-2)][Glc(b1-3)Glc(b1-3)]GlcFruf(b2-1)[Glc(b1-2)][Glc(b1-3)]Glc6AcFruf(b2-1)[Glc(b1-2)][Glc(b1-4)Glc(b1-3)]GlcFruf(b2-1)[Glc(b1-2)][Glc(b1-4)Glc(b1-3)]Glc6AcFruf(b2-1)[Glc(b1-2)][Glc(b1-4)Glc6Ac(b1-3)]GlcFruf(b2-1)[Glc(b1-2)][Glc(b1-4)Glc6Ac(b1-3)]Glc6AcFruf(b2-1)[Glc(b1-2)][Glc6Ac(b1-3)]GlcFruf(b2-1)[Glc(b1-2)][Glc6Ac(b1-3)]Glc6AcFruf(b2-1)[Glc(b1-4)Glc6Ac(b1-3)]Glc6AcFruf(b2-1)[Glc3Ac(b1-2)]GlcFruf(b2-1)[Glc6Ac(b1-2)]GlcFruf1Ac(b2-1)Glc2Ac4Ac6AcFuc(a1-2)Gal(b1-2)Xyl(a1-6)GlcFuc(a1-2)Gal(b1-2)Xyl(a1-6)Glc(b1-4)GlcFuc(a1-2)Gal(b1-2)Xyl(a1-6)[Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)]Glc(b1-4)GlcFuc(a1-2)Gal(b1-2)Xyl(a1-6)[Glc(b1-4)]Glc(b1-4)GlcFuc(a1-2)Gal(b1-4)XylFuc(a1-4)GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcFuc(a1-6)GlcNAc(b1-2)[Man(a1-6)]Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(?1-?)Gal(b1-4)[Fuc(a1-3)]GlcNAc(b1-2)Man(a1-3)[Man(a1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(?1-?)[Gal(?1-?)]GlcNAc(?1-?)[Fuc(a1-3)]GlcNAc(b1-2)Man(a1-3)[Gal(?1-?)Man(a1-3)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(a1-4)GalGal(a1-6)GalGal(a1-6)Gal(a1-6)GalGal(a1-6)Gal(a1-6)Gal(a1-6)Gal(a1-6)Glc(a1-2)FrufGal(a1-6)Gal(a1-6)Gal(a1-6)Gal(a1-6)[Fruf(b2-1)]GlcGal(a1-6)Gal(a1-6)Gal(a1-6)GlcGal(a1-6)Gal(a1-6)Gal(a1-6)Glc(a1-2)FrufGal(a1-6)Gal(a1-6)GlcGal(a1-6)Gal(a1-6)Glc(a1-2)FrufGal(a1-6)Glc(a1-2)FrufGal(a1-6)ManGal(a1-6)Man(b1-4)ManGal(a1-6)Man(b1-4)Man(b1-4)Man(b1-4)ManGal(a1-6)Man(b1-4)Man(b1-4)Man(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Gal(a1-6)]ManGal(a1-6)Man(b1-4)Man(b1-4)[Gal(a1-6)]ManGal(a1-6)Man(b1-4)[Gal(a1-6)]ManGal(b1-2)GlcAGal(b1-2)GlcA6MeGal(b1-2)Xyl(a1-6)Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcGal(b1-2)Xyl(a1-6)[Glc(b1-4)]Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcGal(b1-2)Xyl(a1-6)[Glc(b1-4)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcGal(b1-2)[Xyl(b1-3)]GlcAGal(b1-3)GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-2)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-2)Man(a1-6)[GlcNAc(b1-2)Man(a1-3)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-3)[Gal(b1-3)GlcNAc(b1-4)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-3)[GlcNAc(b1-4)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-6)[GlcNAc(b1-4)Man(a1-3)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(a1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)[GlcNAc(b1-2)Man(a1-3)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-?)[Gal(b1-3)GlcNAc(b1-2)Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-?)[GlcNAc(b1-2)Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-?)[Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)[Man(a1-6)]Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-6)]GlcNAc(b1-2)[Man(a1-6)]Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-4)Gal(b1-4)ManGal(b1-4)Gal(b1-4)ManOMeGal(b1-4)GlcAGal(b1-4)GlcNAc(b1-2)[Gal(b1-4)GlcNAc(b1-4)]Man(a1-3)[Gal(b1-4)GlcNAc(b1-2)[Gal(b1-4)GlcNAc(b1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGal(b1-4)Man(b1-4)ManGal(b1-4)Man(b1-4)Man(b1-4)GalGal(b1-4)Xyl(b1-4)Rha(a1-2)D-FucGal(b1-4)Xyl(b1-4)Rha(a1-2)D-Fuc1CoumOMeGal(b1-4)Xyl(b1-4)Rha(a1-2)D-Fuc1FerOMeGal(b1-4)Xyl(b1-4)Rha(a1-2)[Rha(a1-3)]D-FucGal(b1-4)Xyl(b1-4)Rha(a1-2)[Rha(a1-3)]D-Fuc1CoumOMeGal(b1-4)Xyl(b1-4)Rha(a1-2)[Rha(a1-3)]D-FucOMeOSinGal(b1-4)Xyl(b1-4)[D-Apif(b1-3)]Rha(a1-2)D-FucGal(b1-4)Xyl(b1-4)[D-Apif(b1-3)]Rha(a1-2)D-Fuc1CoumOMeGal(b1-4)Xyl(b1-4)[D-Apif(b1-3)]Rha(a1-2)[Rha(a1-3)]D-FucGal(b1-4)Xyl(b1-4)[D-Apif(b1-3)]Rha(a1-2)[Rha(a1-3)]D-Fuc1CoumOMeGal(b1-4)[Fuc(a1-3)]GlcNAc(b1-2)Man(a1-6)[GlcNAc(b1-2)Man(a1-3)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)GlcNAcGalA(a1-2)[Araf(a1-5)Araf(a1-4)]Rha(b1-4)GalAGalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-2)Rha(a1-4)GalA(a1-2)Rha(a1-4)GalA(a1-2)GalAGalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalAGalOMe(b1-2)[XylOMe(b1-3)]GlcAOMeGalOMe(b1-4)XylOMe(b1-4)RhaOMe(a1-2)D-FucOMeGalOMe(b1-4)XylOMe(b1-4)RhaOMe(a1-2)[RhaOMe(a1-3)]D-FucOMeGalOMe(b1-4)XylOMe(b1-4)[D-ApifOMe(b1-3)]RhaOMe(a1-2)[RhaOMe(a1-3)]D-FucOMeGalf(b1-2)[Galf(b1-4)]ManGlc(a1-2)Glc(a1-3)Glc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-2)Glc(a1-3)Glc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-2)Glc(a1-3)Glc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-2)Glc(a1-3)Glc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcNGlc(a1-2)Rha(a1-6)GlcGlc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-4)Glc(a1-2)Rha(a1-6)GlcGlc(a1-4)Glc(a1-4)Glc(a1-6)GlcGlc(a1-4)Glc(a1-4)GlcAGlc(a1-4)GlcA(b1-2)GlcAGlc(b1-2)AraGlc(b1-2)Ara(a1-2)GlcAGlc(b1-2)Gal(b1-2)Gal(b1-2)GlcAGlc(b1-2)Gal(b1-2)GlcAGlc(b1-2)Gal(b1-2)GlcA(b1-3)[Glc(b1-3)]AraGlc(b1-2)GlcGlc(b1-2)Glc(a1-2)FrufOBzOCinGlc(b1-2)Glc(b1-2)GlcGlc(b1-2)GlcAGlc(b1-2)[Ara(a1-3)]GlcA6MeGlc(b1-2)[Ara(a1-3)]GlcAOMeGlc(b1-2)[Ara(a1-6)]GlcGlc(b1-2)[Glc(b1-3)]Glc(a1-2)FrufGlc(b1-2)[Glc(b1-3)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-2)[Glc6Ac(b1-3)]Glc1Fer(a1-2)Fruf1FerOBzGlc(b1-2)[Rha(a1-3)]GlcAGlc(b1-2)[Xyl(b1-2)Ara(a1-6)]GlcGlc(b1-2)[Xyl(b1-2)D-Fuc(b1-6)]GlcGlc(b1-3)AraGlc(b1-3)GlcGlc(b1-3)Glc(b1-3)[Glc(b1-2)]Glc(a1-2)FrufGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc(a1-2)FrufGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Coum6Ac(a1-2)Fruf1CoumOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1CoumOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1FerOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1CoumOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)][Rha(a1-4)]Glc1Coum6Ac(a1-2)Fruf1CoumOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)][Rha(a1-4)]Glc1Fer6Ac(a1-2)Fruf1CoumOBzGlc(b1-3)Rha1Fer(a1-4)Fruf(b2-1)GlcOBzGlc(b1-3)[Araf(a1-4)]Rha(a1-2)GlcGlc(b1-3)[Xyl(b1-4)]Rha(a1-2)D-FucOMeGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc(a1-2)FrufGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc1Coum6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1FerOBzGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1CoumOBzGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Glc(b1-4)GlcGlc(b1-4)Glc(b1-4)Glc(b1-4)ManGlc(b1-4)Glc6Ac(b1-3)Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Coum6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1FerOBzGlc(b1-4)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1CoumOBzGlc(b1-4)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Man(b1-4)GlcGlc(b1-4)RhaGlc(b1-4)Rha1Fer(a1-4)Fruf(b2-1)GlcOBzGlc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcGlc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcGlc(b1-6)Glc(b1-3)GlcGlc1CerGlc2Ac(b1-4)[D-Apif(b1-3)Xyl(b1-2)]GlcGlc2Ac3Ac4Ac6Ac(b1-3)AraGlc6Ac(b1-2)Glc(a1-2)FrufOBzOCinGlc6Ac(b1-3)Glc6Ac(b1-3)[Glc6Ac(b1-2)]Glc1Fer6Ac(a1-2)Fruf1CoumOAcOBzGlc6Ac(b1-3)Glc6Ac(b1-3)[Glc6Ac(b1-2)][RhaOAc(a1-4)]Glc1Fer6Ac(a1-2)Fruf1CoumOAcOBzGlc6Ac(b1-3)[Glc(b1-2)]Glc1Coum(a1-2)Fruf1CoumOBzGlc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1CoumOBzGlc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1FerOBzGlc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlcA(b1-2)GlcGlcA(b1-2)GlcAGlcA(b1-2)GlcA(b1-2)RhaGlcA4Me(a1-2)[Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)]XylGlcA4Me(a1-2)[Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)]XylGlcA4Me(a1-2)[Xyl(b1-4)]XylGlcNAc(b1-2)Man(a1-3)[Gal(b1-3)GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Gal(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-?)[Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-?)[Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-?)[Xyl(b1-2)][Man(a1-?)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-?)[Xyl(b1-2)][Man(a1-?)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-4)Man(a1-3)[GlcNAc(b1-4)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-4)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-4)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-4)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-4)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-?)Man(a1-3)[GlcNAc(b1-?)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcOMe(b1-3)[XylOMe(b1-4)]RhaOMe(a1-2)D-FucOMeGlcf(b1-2)Xyl(b1-4)Rha(b1-4)[Xyl(b1-3)]XylHexf(?1-?)Xyl(b1-4)Rha(b1-4)[Xyl(a1-3)]XylL-Lyx(a1-2)Ara(a1-2)GlcALyx(a1-2)Ara(a1-2)GlcAMan(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-6)[Man(a1-2)Man(a1-3)]Man(a1-3)[Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)[Man(a1-6)]Man(a1-3)[Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAcMan(a1-2)Man(a1-3)Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-6)[Man(a1-2)Man(a1-3)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-3)[Man(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcNMan(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)[Man(a1-3)]Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(a1-6)Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Gal(b1-3)GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-3)[Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAcMan(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAcMan(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Man(a1-6)][Xylf(a1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAcMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc-olMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]HexMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)ManNAcMan(a1-3)[Xylf(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-6)[Man(a1-3)]Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(a1-6)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-?)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAcMan(a1-?)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-?)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-?)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(b1-2)ManMan(b1-4)Gal(b1-4)Gal(b1-4)ManMan(b1-4)Gal(b1-4)Gal(b1-4)ManOMeMan(b1-4)ManMan(b1-4)Man(b1-4)ManMan(b1-4)Man(b1-4)Man(b1-4)ManMan(b1-4)Man(b1-4)Man(b1-4)Man(b1-4)ManMan(b1-4)Man(b1-4)Man(b1-4)[Gal(a1-6)]ManMan(b1-4)Man(b1-4)[Gal(a1-6)]ManMan(b1-4)Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)ManMan(b1-4)Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Man(b1-6)]Man(b1-4)[Man(b1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-3)Gal(a1-3)Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Man(b1-6)]Man(b1-4)[Man(b1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Man(b1-6)]Man(b1-4)[Man(b1-6)]Man(b1-4)Man(b1-4)ManMan(b1-4)[Gal(a1-6)]ManMan(b1-4)[Gal(a1-6)]Man(b1-4)ManMan(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)ManMan(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]ManMan(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)ManMan(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]ManMan(b1-6)GlcNeu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)Man(a1-3)[Neu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-6)]GlcNAcNeu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)[Neu5Ac(a2-3)Gal(b1-4)GlcNAc(b1-4)]Man(a1-3)[Neu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcRha(a1-2)AraRha(a1-2)Ara(a1-2)GlcARha(a1-2)Ara(a1-2)GlcA6MeRha(a1-2)Ara(a1-2)GlcAOMeRha(a1-2)D-Ara(b1-2)GlcARha(a1-2)Gal(b1-2)GlcRha(a1-2)Gal(b1-2)GlcARha(a1-2)Gal(b1-2)GlcA6MeRha(a1-2)Gal(b1-2)GlcAOMeRha(a1-2)Glc(b1-2)GlcRha(a1-2)Glc(b1-2)GlcARha(a1-2)Glc(b1-2)GlcA6MeRha(a1-2)Glc(b1-2)GlcAOMeRha(a1-2)Glc(b1-6)GlcRha(a1-2)GlcA(b1-2)GlcARha(a1-2)GlcAOMe(b1-2)GlcAOMeRha(a1-2)Rha(a1-2)Gal(b1-4)[Glc(b1-2)]GlcARha(a1-2)XylRha(a1-2)Xyl(b1-2)GlcARha(a1-2)Xyl(b1-2)GlcA6MeRha(a1-2)Xyl(b1-2)GlcAOMeRha(a1-2)Xyl3AcRha(a1-2)Xyl4AcRha(a1-2)[Glc(b1-3)]GlcRha(a1-2)[Glc(b1-6)]Gal(b1-2)GlcA6MeRha(a1-2)[Rha(a1-4)]GlcRha(a1-2)[Rha(a1-6)]GalRha(a1-2)[Rha(a1-6)]GlcRha(a1-2)[Xyl(b1-4)]GlcRha(a1-2)[Xyl(b1-4)]Glc(b1-6)GlcRha(a1-3)GlcARha(a1-4)Gal(b1-2)GlcARha(a1-4)Gal(b1-2)GlcAOMeRha(a1-4)Gal(b1-2)GlcOMeRha(a1-4)Gal(b1-4)Gal(b1-4)GalGroRha(a1-4)Xyl(b1-2)GlcRha(a1-4)Xyl(b1-2)GlcARha(a1-4)Xyl(b1-2)GlcAOMeRha(a1-6)[Xyl(b1-3)Xyl(b1-2)]Glc(b1-2)GlcRha(b1-2)Glc(b1-2)GlcARha1Fer(a1-4)Fruf(b2-1)GlcOBzRhaOMe(a1-2)[RhaOMe(a1-6)]GlcOMe-olRhaOMe(a1-6)GlcOMe(b1-2)GlcOMe-olXyl(a1-6)Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc-olXyl(b1-2)Ara(a1-6)GlcXyl(b1-2)Ara(a1-6)GlcNAcXyl(b1-2)Ara(a1-6)[Glc(b1-2)]GlcXyl(b1-2)Ara(a1-6)[Glc(b1-4)]GlcNAcXyl(b1-2)D-Fuc(b1-6)GlcXyl(b1-2)D-Fuc(b1-6)GlcNAcXyl(b1-2)D-Fuc(b1-6)[Glc(b1-2)]GlcXyl(b1-2)Fuc(a1-6)GlcXyl(b1-2)Fuc(a1-6)GlcNAcXyl(b1-2)Gal(b1-2)GlcA6MeXyl(b1-2)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)Rha(a1-2)AraXyl(b1-2)[Glc(b1-3)]AraXyl(b1-2)[Man(a1-3)][Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(a1-3)Man(b1-4)GlcNAc(b1-4)GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(a1-3)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcNXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-6)]GlcNAcXyl(b1-2)[Man(a1-6)]Man(a1-3)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcXyl(b1-2)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)[Rha(a1-3)]GlcAXyl(b1-3)AraXyl(b1-3)Xyl(b1-2)[Rha(a1-6)]Glc(b1-2)GlcXyl(b1-3)Xyl(b1-4)Rha(a1-2)[Rha(a1-6)]GlcXyl(b1-3)Xyl(b1-4)Rha(a1-2)[Rha(a1-6)]Glc(b1-2)GlcXyl(b1-4)Rha(a1-2)AraXyl(b1-4)Rha(a1-2)D-FucXyl(b1-4)Rha(a1-2)D-FucOMeXyl(b1-4)Rha(a1-2)[Rha(a1-6)]GlcXyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl3Ac(b1-4)Xyl(b1-4)Xyl(b1-4)[GlcA(a1-2)]Xyl(b1-4)XylXyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl3Ac(b1-4)Xyl(b1-4)Xyl(b1-4)[GlcA(a1-2)]Xyl3Ac(b1-4)XylXyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl3Ac(b1-4)Xyl(b1-4)Xyl(b1-4)[GlcA4Me(a1-2)]Xyl(b1-4)XylXyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl3Ac(b1-4)Xyl(b1-4)Xyl(b1-4)[GlcA4Me(a1-2)]Xyl3Ac(b1-4)XylXyl(b1-4)Xyl(b1-4)[GlcA(a1-2)]Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)XylXyl(b1-4)[GlcAOMe(a1-2)]Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)XylXyl2Ac3Ac4Ac(b1-3)AraXylOMe(b1-2)[RhaOMe(a1-6)]GlcOMe(b1-2)GlcOMe-olXylOMe(b1-3)XylOMe(b1-2)[RhaOMe(a1-6)]GlcOMe(b1-2)GlcOMe-olXylOMe(b1-4)RhaOMe(a1-2)D-FucOMeXylOMe(b1-4)RhaOMe(a1-2)[RhaOMe(a1-6)]GlcOMeXylOMe(b1-4)RhaOMe(a1-2)[RhaOMe(a1-6)]GlcOMe-olXylf(b1-2)Xyl(b1-3)[Rha(b1-2)Rha(b1-4)]Xyl[Araf(a1-3)Gal(b1-3)Gal(b1-6)]Gal(b1-3)Gal[Araf(a1-3)Gal(b1-6)]Gal(b1-3)Gal[Gal(a1-4)Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Man(b1-4)Man(b1-4)Man(b1-4)Gal(a1-6)]Man(b1-2)[Gal(a1-6)]Man(b1-2)[Gal(a1-4)Gal(a1-6)]Man(b1-4)Man[Gal(a1-6)]Man(b1-4)Man[Gal(a1-6)]Man(b1-4)Man(b1-4)Man[Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)Man(b1-4)Man[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)Man[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)Man[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Gal(b1-3)Gal(b1-6)[Araf(a1-3)]Gal(b1-6)]Gal(b1-3)Gal[Gal(b1-3)Gal(b1-6)]Gal(b1-3)Gal[Gal(b1-6)Gal(b1-6)Gal(b1-6)]Gal(b1-3)Gal[Gal(b1-6)Gal(b1-6)]Gal(b1-3)Gal[Gal(b1-6)]Gal(b1-3)Gal(b1-3)Gal(b1-3)Gal(b1-3)Gal(b1-3)Gal(b1-3)Gal[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Araf(a1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Araf(a1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Araf(a1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Araf(a1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)GlcApif(a1-2)Xyl(b1-2)[Glc6Ac(b1-4)]GlcAra(a1-2)Ara(a1-6)GlcNAcAra(a1-2)Glc(b1-2)AraAra(a1-2)GlcAAra(a1-2)[Glc(b1-6)]GlcAra(a1-6)GlcAraf(a1-3)Araf(a1-5)[Araf(a1-6)Gal(b1-6)Glc(b1-6)Man(a1-3)]Araf(a1-5)Araf(a1-3)Araf(a1-3)ArafAraf(a1-3)Gal(b1-6)GalD-Apif(b1-2)GlcD-Apif(b1-2)GlcAD-Apif(b1-3)Xyl(b1-2)[Glc6Ac(b1-4)]GlcD-Apif(b1-3)Xyl(b1-4)Rha(a1-2)AraD-Apif(b1-3)Xyl(b1-4)Rha(a1-2)D-FucD-Apif(b1-3)Xyl(b1-4)[Glc(b1-3)]Rha(a1-2)D-FucD-Apif(b1-3)[Gal(b1-4)Xyl(b1-4)]Rha(a1-2)D-FucD-Apif(b1-3)[Gal(b1-4)Xyl(b1-4)]Rha(a1-2)[Rha(a1-3)]D-FucD-Apif(b1-3)[Gal(b1-4)Xyl(b1-4)]Rha(a1-3)D-FucD-Apif(b1-6)GlcD-ApifOMe(b1-3)XylOMe(b1-4)RhaOMe(a1-2)D-FucOMeD-ApifOMe(b1-3)XylOMe(b1-4)[GlcOMe(b1-3)]RhaOMe(a1-2)D-FucOMeFruf(a2-1)[Glc(b1-2)][Glc(b1-3)Glc4Ac6Ac(b1-3)]GlcFruf(a2-1)[Glc(b1-2)][Glc(b1-3)Glc4Ac6Ac(b1-3)]Glc6AcFruf(a2-1)[Glc(b1-2)][Glc(b1-3)Glc6Ac(b1-3)]GlcFruf(a2-1)[Glc(b1-2)][Glc(b1-3)Glc6Ac(b1-3)]Glc6AcFruf(b2-1)Glc3Ac6AcFruf(b2-1)Glc4Ac6AcFruf(b2-1)Glc6AcFruf(b2-1)[Glc(b1-2)]GlcFruf(b2-1)[Glc(b1-2)][Glc(b1-3)Glc(b1-3)]GlcFruf(b2-1)[Glc(b1-2)][Glc(b1-3)]Glc6AcFruf(b2-1)[Glc(b1-2)][Glc(b1-4)Glc(b1-3)]GlcFruf(b2-1)[Glc(b1-2)][Glc(b1-4)Glc(b1-3)]Glc6AcFruf(b2-1)[Glc(b1-2)][Glc(b1-4)Glc6Ac(b1-3)]GlcFruf(b2-1)[Glc(b1-2)][Glc(b1-4)Glc6Ac(b1-3)]Glc6AcFruf(b2-1)[Glc(b1-2)][Glc6Ac(b1-3)]GlcFruf(b2-1)[Glc(b1-2)][Glc6Ac(b1-3)]Glc6AcFruf(b2-1)[Glc(b1-4)Glc6Ac(b1-3)]Glc6AcFruf(b2-1)[Glc3Ac(b1-2)]GlcFruf(b2-1)[Glc6Ac(b1-2)]GlcFruf1Ac(b2-1)Glc2Ac4Ac6AcFuc(a1-2)Gal(b1-2)Xyl(a1-6)GlcFuc(a1-2)Gal(b1-2)Xyl(a1-6)Glc(b1-4)GlcFuc(a1-2)Gal(b1-2)Xyl(a1-6)[Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)]Glc(b1-4)GlcFuc(a1-2)Gal(b1-2)Xyl(a1-6)[Glc(b1-4)]Glc(b1-4)GlcFuc(a1-2)Gal(b1-4)XylFuc(a1-4)GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcFuc(a1-6)GlcNAc(b1-2)[Man(a1-6)]Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(?1-?)Gal(b1-4)[Fuc(a1-3)]GlcNAc(b1-2)Man(a1-3)[Man(a1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(?1-?)[Gal(?1-?)]GlcNAc(?1-?)[Fuc(a1-3)]GlcNAc(b1-2)Man(a1-3)[Gal(?1-?)Man(a1-3)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(a1-4)GalGal(a1-6)GalGal(a1-6)Gal(a1-6)GalGal(a1-6)Gal(a1-6)Gal(a1-6)Gal(a1-6)Glc(a1-2)FrufGal(a1-6)Gal(a1-6)Gal(a1-6)Gal(a1-6)[Fruf(b2-1)]GlcGal(a1-6)Gal(a1-6)Gal(a1-6)GlcGal(a1-6)Gal(a1-6)Gal(a1-6)Glc(a1-2)FrufGal(a1-6)Gal(a1-6)GlcGal(a1-6)Gal(a1-6)Glc(a1-2)FrufGal(a1-6)Glc(a1-2)FrufGal(a1-6)ManGal(a1-6)Man(b1-4)ManGal(a1-6)Man(b1-4)Man(b1-4)Man(b1-4)ManGal(a1-6)Man(b1-4)Man(b1-4)Man(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Gal(a1-6)]ManGal(a1-6)Man(b1-4)Man(b1-4)[Gal(a1-6)]ManGal(a1-6)Man(b1-4)[Gal(a1-6)]ManGal(b1-2)GlcAGal(b1-2)GlcA6MeGal(b1-2)Xyl(a1-6)Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcGal(b1-2)Xyl(a1-6)[Glc(b1-4)]Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcGal(b1-2)Xyl(a1-6)[Glc(b1-4)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcGal(b1-2)[Xyl(b1-3)]GlcAGal(b1-3)GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-2)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-2)Man(a1-6)[GlcNAc(b1-2)Man(a1-3)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-3)[Gal(b1-3)GlcNAc(b1-4)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-3)[GlcNAc(b1-4)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-6)[GlcNAc(b1-4)Man(a1-3)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)GlcNAc(b1-4)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(a1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-3)[Gal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)[GlcNAc(b1-2)Man(a1-3)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-?)[Gal(b1-3)GlcNAc(b1-2)Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-?)[GlcNAc(b1-2)Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)Man(a1-?)[Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-4)]GlcNAc(b1-2)[Man(a1-6)]Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-3)[Fuc(a1-6)]GlcNAc(b1-2)[Man(a1-6)]Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGal(b1-4)Gal(b1-4)ManGal(b1-4)Gal(b1-4)ManOMeGal(b1-4)GlcAGal(b1-4)GlcNAc(b1-2)[Gal(b1-4)GlcNAc(b1-4)]Man(a1-3)[Gal(b1-4)GlcNAc(b1-2)[Gal(b1-4)GlcNAc(b1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGal(b1-4)Man(b1-4)ManGal(b1-4)Man(b1-4)Man(b1-4)GalGal(b1-4)Xyl(b1-4)Rha(a1-2)D-FucGal(b1-4)Xyl(b1-4)Rha(a1-2)D-Fuc1CoumOMeGal(b1-4)Xyl(b1-4)Rha(a1-2)D-Fuc1FerOMeGal(b1-4)Xyl(b1-4)Rha(a1-2)[Rha(a1-3)]D-FucGal(b1-4)Xyl(b1-4)Rha(a1-2)[Rha(a1-3)]D-Fuc1CoumOMeGal(b1-4)Xyl(b1-4)Rha(a1-2)[Rha(a1-3)]D-FucOMeOSinGal(b1-4)Xyl(b1-4)[D-Apif(b1-3)]Rha(a1-2)D-FucGal(b1-4)Xyl(b1-4)[D-Apif(b1-3)]Rha(a1-2)D-Fuc1CoumOMeGal(b1-4)Xyl(b1-4)[D-Apif(b1-3)]Rha(a1-2)[Rha(a1-3)]D-FucGal(b1-4)Xyl(b1-4)[D-Apif(b1-3)]Rha(a1-2)[Rha(a1-3)]D-Fuc1CoumOMeGal(b1-4)[Fuc(a1-3)]GlcNAc(b1-2)Man(a1-6)[GlcNAc(b1-2)Man(a1-3)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)GlcNAcGalA(a1-2)[Araf(a1-5)Araf(a1-4)]Rha(b1-4)GalAGalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-2)Rha(a1-4)GalA(a1-2)Rha(a1-4)GalA(a1-2)GalAGalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalA(a1-4)GalAGalOMe(b1-2)[XylOMe(b1-3)]GlcAOMeGalOMe(b1-4)XylOMe(b1-4)RhaOMe(a1-2)D-FucOMeGalOMe(b1-4)XylOMe(b1-4)RhaOMe(a1-2)[RhaOMe(a1-3)]D-FucOMeGalOMe(b1-4)XylOMe(b1-4)[D-ApifOMe(b1-3)]RhaOMe(a1-2)[RhaOMe(a1-3)]D-FucOMeGalf(b1-2)[Galf(b1-4)]ManGlc(a1-2)Glc(a1-3)Glc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-2)Glc(a1-3)Glc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-2)Glc(a1-3)Glc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-2)Glc(a1-3)Glc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcNGlc(a1-2)Rha(a1-6)GlcGlc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-3)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlc(a1-4)Glc(a1-2)Rha(a1-6)GlcGlc(a1-4)Glc(a1-4)Glc(a1-6)GlcGlc(a1-4)Glc(a1-4)GlcAGlc(a1-4)GlcA(b1-2)GlcAGlc(b1-2)AraGlc(b1-2)Ara(a1-2)GlcAGlc(b1-2)Gal(b1-2)Gal(b1-2)GlcAGlc(b1-2)Gal(b1-2)GlcAGlc(b1-2)Gal(b1-2)GlcA(b1-3)[Glc(b1-3)]AraGlc(b1-2)GlcGlc(b1-2)Glc(a1-2)FrufOBzOCinGlc(b1-2)Glc(b1-2)GlcGlc(b1-2)GlcAGlc(b1-2)[Ara(a1-3)]GlcA6MeGlc(b1-2)[Ara(a1-3)]GlcAOMeGlc(b1-2)[Ara(a1-6)]GlcGlc(b1-2)[Glc(b1-3)]Glc(a1-2)FrufGlc(b1-2)[Glc(b1-3)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-2)[Glc6Ac(b1-3)]Glc1Fer(a1-2)Fruf1FerOBzGlc(b1-2)[Rha(a1-3)]GlcAGlc(b1-2)[Xyl(b1-2)Ara(a1-6)]GlcGlc(b1-2)[Xyl(b1-2)D-Fuc(b1-6)]GlcGlc(b1-3)AraGlc(b1-3)GlcGlc(b1-3)Glc(b1-3)[Glc(b1-2)]Glc(a1-2)FrufGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc(a1-2)FrufGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Coum6Ac(a1-2)Fruf1CoumOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1CoumOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1FerOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1CoumOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)][Rha(a1-4)]Glc1Coum6Ac(a1-2)Fruf1CoumOBzGlc(b1-3)Glc6Ac(b1-3)[Glc(b1-2)][Rha(a1-4)]Glc1Fer6Ac(a1-2)Fruf1CoumOBzGlc(b1-3)Rha1Fer(a1-4)Fruf(b2-1)GlcOBzGlc(b1-3)[Araf(a1-4)]Rha(a1-2)GlcGlc(b1-3)[Xyl(b1-4)]Rha(a1-2)D-FucOMeGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc(a1-2)FrufGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc1Coum6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1FerOBzGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1CoumOBzGlc(b1-4)Glc(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Glc(b1-4)GlcGlc(b1-4)Glc(b1-4)Glc(b1-4)ManGlc(b1-4)Glc6Ac(b1-3)Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Coum6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1FerOBzGlc(b1-4)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1CoumOBzGlc(b1-4)Glc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlc(b1-4)Man(b1-4)GlcGlc(b1-4)RhaGlc(b1-4)Rha1Fer(a1-4)Fruf(b2-1)GlcOBzGlc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcGlc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcGlc(b1-6)Glc(b1-3)GlcGlc1CerGlc2Ac(b1-4)[D-Apif(b1-3)Xyl(b1-2)]GlcGlc2Ac3Ac4Ac6Ac(b1-3)AraGlc6Ac(b1-2)Glc(a1-2)FrufOBzOCinGlc6Ac(b1-3)Glc6Ac(b1-3)[Glc6Ac(b1-2)]Glc1Fer6Ac(a1-2)Fruf1CoumOAcOBzGlc6Ac(b1-3)Glc6Ac(b1-3)[Glc6Ac(b1-2)][RhaOAc(a1-4)]Glc1Fer6Ac(a1-2)Fruf1CoumOAcOBzGlc6Ac(b1-3)[Glc(b1-2)]Glc1Coum(a1-2)Fruf1CoumOBzGlc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1CoumOBzGlc6Ac(b1-3)[Glc(b1-2)]Glc1Fer(a1-2)Fruf1FerOBzGlc6Ac(b1-3)[Glc(b1-2)]Glc1Fer6Ac(a1-2)Fruf1FerOBzGlcA(b1-2)GlcGlcA(b1-2)GlcAGlcA(b1-2)GlcA(b1-2)RhaGlcA4Me(a1-2)[Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)]XylGlcA4Me(a1-2)[Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)]XylGlcA4Me(a1-2)[Xyl(b1-4)]XylGlcNAc(b1-2)Man(a1-3)[Gal(b1-3)GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Gal(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-?)[Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-?)[Man(a1-?)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-2)Man(a1-?)[Xyl(b1-2)][Man(a1-?)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-2)Man(a1-?)[Xyl(b1-2)][Man(a1-?)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-4)Man(a1-3)[GlcNAc(b1-4)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-4)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-4)Man(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-4)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcGlcNAc(b1-4)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcNAc(b1-?)Man(a1-3)[GlcNAc(b1-?)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcGlcOMe(b1-3)[XylOMe(b1-4)]RhaOMe(a1-2)D-FucOMeGlcf(b1-2)Xyl(b1-4)Rha(b1-4)[Xyl(b1-3)]XylHexf(?1-?)Xyl(b1-4)Rha(b1-4)[Xyl(a1-3)]XylL-Lyx(a1-2)Ara(a1-2)GlcALyx(a1-2)Ara(a1-2)GlcAMan(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-2)Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)Man(a1-6)[Man(a1-2)Man(a1-3)]Man(a1-3)[Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-2)[Man(a1-6)]Man(a1-3)[Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAcMan(a1-2)Man(a1-3)Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-3)[Man(a1-2)Man(a1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-6)[Man(a1-2)Man(a1-3)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-3)[Man(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcNMan(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)Man(a1-6)[Man(a1-3)]Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-2)[Man(a1-3)]Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(a1-6)Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Gal(b1-3)GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-3)[Man(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Man(a1-2)Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-3)[Man(a1-3)[Man(a1-6)]Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-2)Man(a1-3)]Man(b1-4)GlcNAcMan(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAcMan(a1-3)[Man(a1-6)]Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Man(a1-6)][Xylf(a1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAcMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc-olMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcNMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]HexMan(a1-3)[Xyl(b1-2)][Man(a1-6)]Man(b1-4)ManNAcMan(a1-3)[Xylf(b1-2)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-6)[Man(a1-3)]Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(a1-6)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(a1-?)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAcMan(a1-?)Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-?)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAcMan(a1-?)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcMan(b1-2)ManMan(b1-4)Gal(b1-4)Gal(b1-4)ManMan(b1-4)Gal(b1-4)Gal(b1-4)ManOMeMan(b1-4)ManMan(b1-4)Man(b1-4)ManMan(b1-4)Man(b1-4)Man(b1-4)ManMan(b1-4)Man(b1-4)Man(b1-4)Man(b1-4)ManMan(b1-4)Man(b1-4)Man(b1-4)[Gal(a1-6)]ManMan(b1-4)Man(b1-4)[Gal(a1-6)]ManMan(b1-4)Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)ManMan(b1-4)Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Man(b1-6)]Man(b1-4)[Man(b1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-3)Gal(a1-3)Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Man(b1-6)]Man(b1-4)[Man(b1-6)]Man(b1-4)Man(b1-4)Man(b1-4)[Man(b1-6)]Man(b1-4)[Man(b1-6)]Man(b1-4)Man(b1-4)ManMan(b1-4)[Gal(a1-6)]ManMan(b1-4)[Gal(a1-6)]Man(b1-4)ManMan(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)ManMan(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]ManMan(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)ManMan(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]ManMan(b1-6)GlcNeu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)Man(a1-3)[Neu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-6)]GlcNAcNeu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)[Neu5Ac(a2-3)Gal(b1-4)GlcNAc(b1-4)]Man(a1-3)[Neu5Ac(a2-6)Gal(b1-4)GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcRha(a1-2)AraRha(a1-2)Ara(a1-2)GlcARha(a1-2)Ara(a1-2)GlcA6MeRha(a1-2)Ara(a1-2)GlcAOMeRha(a1-2)D-Ara(b1-2)GlcARha(a1-2)Gal(b1-2)GlcRha(a1-2)Gal(b1-2)GlcARha(a1-2)Gal(b1-2)GlcA6MeRha(a1-2)Gal(b1-2)GlcAOMeRha(a1-2)Glc(b1-2)GlcRha(a1-2)Glc(b1-2)GlcARha(a1-2)Glc(b1-2)GlcA6MeRha(a1-2)Glc(b1-2)GlcAOMeRha(a1-2)Glc(b1-6)GlcRha(a1-2)GlcA(b1-2)GlcARha(a1-2)GlcAOMe(b1-2)GlcAOMeRha(a1-2)Rha(a1-2)Gal(b1-4)[Glc(b1-2)]GlcARha(a1-2)XylRha(a1-2)Xyl(b1-2)GlcARha(a1-2)Xyl(b1-2)GlcA6MeRha(a1-2)Xyl(b1-2)GlcAOMeRha(a1-2)Xyl3AcRha(a1-2)Xyl4AcRha(a1-2)[Glc(b1-3)]GlcRha(a1-2)[Glc(b1-6)]Gal(b1-2)GlcA6MeRha(a1-2)[Rha(a1-4)]GlcRha(a1-2)[Rha(a1-6)]GalRha(a1-2)[Rha(a1-6)]GlcRha(a1-2)[Xyl(b1-4)]GlcRha(a1-2)[Xyl(b1-4)]Glc(b1-6)GlcRha(a1-3)GlcARha(a1-4)Gal(b1-2)GlcARha(a1-4)Gal(b1-2)GlcAOMeRha(a1-4)Gal(b1-2)GlcOMeRha(a1-4)Gal(b1-4)Gal(b1-4)GalGroRha(a1-4)Xyl(b1-2)GlcRha(a1-4)Xyl(b1-2)GlcARha(a1-4)Xyl(b1-2)GlcAOMeRha(a1-6)[Xyl(b1-3)Xyl(b1-2)]Glc(b1-2)GlcRha(b1-2)Glc(b1-2)GlcARha1Fer(a1-4)Fruf(b2-1)GlcOBzRhaOMe(a1-2)[RhaOMe(a1-6)]GlcOMe-olRhaOMe(a1-6)GlcOMe(b1-2)GlcOMe-olXyl(a1-6)Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc-olXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)GlcXyl(a1-6)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc-olXyl(b1-2)Ara(a1-6)GlcXyl(b1-2)Ara(a1-6)GlcNAcXyl(b1-2)Ara(a1-6)[Glc(b1-2)]GlcXyl(b1-2)Ara(a1-6)[Glc(b1-4)]GlcNAcXyl(b1-2)D-Fuc(b1-6)GlcXyl(b1-2)D-Fuc(b1-6)GlcNAcXyl(b1-2)D-Fuc(b1-6)[Glc(b1-2)]GlcXyl(b1-2)Fuc(a1-6)GlcXyl(b1-2)Fuc(a1-6)GlcNAcXyl(b1-2)Gal(b1-2)GlcA6MeXyl(b1-2)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)Rha(a1-2)AraXyl(b1-2)[Glc(b1-3)]AraXyl(b1-2)[Man(a1-3)][Man(a1-3)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(a1-3)Man(b1-4)GlcNAc(b1-4)GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(a1-3)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcNXyl(b1-2)[Man(a1-3)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-6)]GlcNAcXyl(b1-2)[Man(a1-6)]Man(a1-3)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAcXyl(b1-2)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAcXyl(b1-2)[Rha(a1-3)]GlcAXyl(b1-3)AraXyl(b1-3)Xyl(b1-2)[Rha(a1-6)]Glc(b1-2)GlcXyl(b1-3)Xyl(b1-4)Rha(a1-2)[Rha(a1-6)]GlcXyl(b1-3)Xyl(b1-4)Rha(a1-2)[Rha(a1-6)]Glc(b1-2)GlcXyl(b1-4)Rha(a1-2)AraXyl(b1-4)Rha(a1-2)D-FucXyl(b1-4)Rha(a1-2)D-FucOMeXyl(b1-4)Rha(a1-2)[Rha(a1-6)]GlcXyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl3Ac(b1-4)Xyl(b1-4)Xyl(b1-4)[GlcA(a1-2)]Xyl(b1-4)XylXyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl3Ac(b1-4)Xyl(b1-4)Xyl(b1-4)[GlcA(a1-2)]Xyl3Ac(b1-4)XylXyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl3Ac(b1-4)Xyl(b1-4)Xyl(b1-4)[GlcA4Me(a1-2)]Xyl(b1-4)XylXyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl3Ac(b1-4)Xyl(b1-4)Xyl(b1-4)[GlcA4Me(a1-2)]Xyl3Ac(b1-4)XylXyl(b1-4)Xyl(b1-4)[GlcA(a1-2)]Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)XylXyl(b1-4)[GlcAOMe(a1-2)]Xyl(b1-4)Xyl(b1-4)Xyl(b1-4)XylXyl2Ac3Ac4Ac(b1-3)AraXylOMe(b1-2)[RhaOMe(a1-6)]GlcOMe(b1-2)GlcOMe-olXylOMe(b1-3)XylOMe(b1-2)[RhaOMe(a1-6)]GlcOMe(b1-2)GlcOMe-olXylOMe(b1-4)RhaOMe(a1-2)D-FucOMeXylOMe(b1-4)RhaOMe(a1-2)[RhaOMe(a1-6)]GlcOMeXylOMe(b1-4)RhaOMe(a1-2)[RhaOMe(a1-6)]GlcOMe-olXylf(b1-2)Xyl(b1-3)[Rha(b1-2)Rha(b1-4)]Xyl[Araf(a1-3)Gal(b1-3)Gal(b1-6)]Gal(b1-3)Gal[Araf(a1-3)Gal(b1-6)]Gal(b1-3)Gal[Gal(a1-4)Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Man(b1-4)Man(b1-4)Man(b1-4)Gal(a1-6)]Man(b1-2)[Gal(a1-6)]Man(b1-2)[Gal(a1-4)Gal(a1-6)]Man(b1-4)Man[Gal(a1-6)]Man(b1-4)Man[Gal(a1-6)]Man(b1-4)Man(b1-4)Man[Gal(a1-6)]Man(b1-4)Man(b1-4)Man(b1-4)Man(b1-4)Man[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)Man(b1-4)Man[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)[Gal(a1-6)]Man(b1-4)Man[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Gal(b1-3)Gal(b1-6)[Araf(a1-3)]Gal(b1-6)]Gal(b1-3)Gal[Gal(b1-3)Gal(b1-6)]Gal(b1-3)Gal[Gal(b1-6)Gal(b1-6)Gal(b1-6)]Gal(b1-3)Gal[Gal(b1-6)Gal(b1-6)]Gal(b1-3)Gal[Gal(b1-6)]Gal(b1-3)Gal(b1-3)Gal(b1-3)Gal(b1-3)Gal(b1-3)Gal(b1-3)Gal[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Araf(a1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Araf(a1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Araf(a1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Araf(a1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Fuc(a1-2)Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Gal(b1-2)Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)[Gal(b1-5)Araf(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)[Xyl(a1-6)]Glc(b1-4)Glc(b1-4)Glc
Family
Fabaceae141311013111000001000000000000000000000012111211114212274442842541111101131111112151111221121111320000000000111100001111111311111121311012112000111410000000000200000011000001201115110000000131000114611112111311311111110001111111211111111122211111221111311211111113212111211111112111464441154141101117112322671834131112221111102111111111111011111212211112111112111121111171112311111111111521113211321002111111111011011141211111111111111111111111Fabaceae141311013111000001000000000000000000000012111211114212274442842541111101131111112151111221121111320000000000111100001111111311111121311012112000111410000000000200000011000001201115110000000131000114611112111311311111110001111111211111111122211111221111311211111113212111211111112111464441154141101117112322671834131112221111102111111111111011111212211112111112111121111171112311111111111521113211321002111111111011011141211111111111111111111111
Fagaceae00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000Fagaceae00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
Polygalaceae00000010000000111000111111111111111111110000000000000000000000000000000000000000000000000000000000211221111200000111000000000000000000010000011100000111221111100111110011111001000100111111100000000000000000000000000000011000000000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000010000000000000100000000000000000000000000000000000000000000000000000000000100000000000000100000000000000000000000000000Polygalaceae00000010000000111000111111111111111111110000000000000000000000000000000000000000000000000000000000211221111200000111000000000000000000010000011100000111221111100111110011111001000100111111100000000000000000000000000000011000000000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000010000000000000100000000000000000000000000000000000000000000000000000000000100000000000000100000000000000000000000000000
Quillajaceae00000000000011000011000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000001000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000110000000000100000000000000000000000000000000Quillajaceae00000000000011000011000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000001000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000110000000000100000000000000000000000000000000
\n" @@ -8660,15 +8660,15 @@ "\n", "### get_possible_linkages\n", "\n", - "> get_possible_linkages (wildcard, linkage_list={'b2-7', 'a2-11', '?1-6',\n", - "> '1-6', 'a1-1', 'a2-2', 'b1-9', 'b2-5', 'a2-5',\n", - "> '?1-2', 'a2-3', '?2-6', 'b1-1', 'b1-?', 'a1-11',\n", - "> 'a1-3', 'a2-8', 'a1-5', 'b1-2', 'b1-6', 'a1-4',\n", - "> 'b2-2', 'b2-4', 'a1-7', '?1-?', 'a2-?', 'a2-6',\n", - "> '1-4', '?1-4', 'a1-9', 'a1-8', 'b2-1', 'a1-?',\n", - "> 'b2-6', 'b1-8', 'a1-2', '?1-3', 'a2-9', '?2-?',\n", - "> 'a2-4', 'b2-8', 'b1-4', 'a1-6', 'b1-5', 'a2-1',\n", - "> 'b2-3', '?2-3', 'b1-7', 'b1-3', '?2-8', 'a2-7'})\n", + "> get_possible_linkages (wildcard, linkage_list={'a2-?', 'a1-5', '1-6',\n", + "> 'a1-6', 'a2-4', 'b1-8', 'b2-4', 'b2-5', 'a1-1',\n", + "> 'a1-4', '?2-?', '?2-6', 'a2-1', '?1-?', '?2-8',\n", + "> 'b2-6', 'b1-2', 'b1-7', 'a2-5', '?2-3', 'a2-2',\n", + "> 'a1-3', 'b1-5', '?1-6', '1-4', 'b1-3', 'b1-6',\n", + "> 'b2-8', 'b2-2', '?1-2', 'a1-11', 'a2-3', 'a1-9',\n", + "> 'a2-11', 'a1-8', 'a2-7', 'b2-7', 'a2-8', 'b2-1',\n", + "> '?1-4', '?1-3', 'a1-7', 'b1-9', 'b1-4', 'a1-?',\n", + "> 'a2-6', 'b1-1', 'a1-2', 'a2-9', 'b2-3', 'b1-?'})\n", "\n", "Retrieves all linkages that match a given wildcard pattern from a list of linkages\n", "\n", @@ -8686,15 +8686,15 @@ "\n", "### get_possible_linkages\n", "\n", - "> get_possible_linkages (wildcard, linkage_list={'b2-7', 'a2-11', '?1-6',\n", - "> '1-6', 'a1-1', 'a2-2', 'b1-9', 'b2-5', 'a2-5',\n", - "> '?1-2', 'a2-3', '?2-6', 'b1-1', 'b1-?', 'a1-11',\n", - "> 'a1-3', 'a2-8', 'a1-5', 'b1-2', 'b1-6', 'a1-4',\n", - "> 'b2-2', 'b2-4', 'a1-7', '?1-?', 'a2-?', 'a2-6',\n", - "> '1-4', '?1-4', 'a1-9', 'a1-8', 'b2-1', 'a1-?',\n", - "> 'b2-6', 'b1-8', 'a1-2', '?1-3', 'a2-9', '?2-?',\n", - "> 'a2-4', 'b2-8', 'b1-4', 'a1-6', 'b1-5', 'a2-1',\n", - "> 'b2-3', '?2-3', 'b1-7', 'b1-3', '?2-8', 'a2-7'})\n", + "> get_possible_linkages (wildcard, linkage_list={'a2-?', 'a1-5', '1-6',\n", + "> 'a1-6', 'a2-4', 'b1-8', 'b2-4', 'b2-5', 'a1-1',\n", + "> 'a1-4', '?2-?', '?2-6', 'a2-1', '?1-?', '?2-8',\n", + "> 'b2-6', 'b1-2', 'b1-7', 'a2-5', '?2-3', 'a2-2',\n", + "> 'a1-3', 'b1-5', '?1-6', '1-4', 'b1-3', 'b1-6',\n", + "> 'b2-8', 'b2-2', '?1-2', 'a1-11', 'a2-3', 'a1-9',\n", + "> 'a2-11', 'a1-8', 'a2-7', 'b2-7', 'a2-8', 'b2-1',\n", + "> '?1-4', '?1-3', 'a1-7', 'b1-9', 'b1-4', 'a1-?',\n", + "> 'a2-6', 'b1-1', 'a1-2', 'a2-9', 'b2-3', 'b1-?'})\n", "\n", "Retrieves all linkages that match a given wildcard pattern from a list of linkages\n", "\n", @@ -8726,16 +8726,16 @@ { "data": { "text/plain": [ - "['a1-1',\n", - " 'a1-3',\n", - " 'a1-5',\n", + "['a1-5',\n", + " 'a1-6',\n", + " 'a1-1',\n", " 'a1-4',\n", - " 'a1-7',\n", + " 'a1-3',\n", " 'a1-9',\n", " 'a1-8',\n", + " 'a1-7',\n", " 'a1-?',\n", - " 'a1-2',\n", - " 'a1-6']" + " 'a1-2']" ] }, "execution_count": null, @@ -9184,6 +9184,62 @@ "pattern = \"r[Sia]{,1}-[.]{,1}-([dHex]){,1}-.b3(?=-GalNAc)\"" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "33e05e32-0ad4-464e-a536-8509e27f583a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "---\n", + "\n", + "### get_match_batch\n", + "\n", + "> get_match_batch (pattern, glycan_list, return_matches=True)\n", + "\n", + "finds matches for a glyco-regular expression in a list of glycans\n", + "\n", + "| Arguments:\n", + "| :-\n", + "| pattern (string): glyco-regular expression in the form of \"Hex-HexNAc-([Hex|Fuc]){1,2}-HexNAc\"; accepts pre-compiled pattern\n", + "| glycan_list (list of strings): list of glycan sequence in IUPAC-condensed\n", + "| return_matches (bool): whether to return True/False or return the matches as a list of strings; default:True\n", + "\n", + "| Returns:\n", + "| :-\n", + "| Returns either a list of booleans (return_matches = False) or a list of list of matches as strings (return_matches = True)" + ], + "text/plain": [ + "---\n", + "\n", + "### get_match_batch\n", + "\n", + "> get_match_batch (pattern, glycan_list, return_matches=True)\n", + "\n", + "finds matches for a glyco-regular expression in a list of glycans\n", + "\n", + "| Arguments:\n", + "| :-\n", + "| pattern (string): glyco-regular expression in the form of \"Hex-HexNAc-([Hex|Fuc]){1,2}-HexNAc\"; accepts pre-compiled pattern\n", + "| glycan_list (list of strings): list of glycan sequence in IUPAC-condensed\n", + "| return_matches (bool): whether to return True/False or return the matches as a list of strings; default:True\n", + "\n", + "| Returns:\n", + "| :-\n", + "| Returns either a list of booleans (return_matches = False) or a list of list of matches as strings (return_matches = True)" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "show_doc(get_match_batch)" + ] + }, { "cell_type": "markdown", "id": "serious-savage", @@ -10593,9 +10649,9 @@ { "data": { "text/plain": [ - "['HexNAc(?1-?)Hex(?1-?)HexNAc',\n", - " 'Hex(?1-?)HexNAc(?1-?)HexNAc',\n", - " 'Hex(?1-?)[HexNAc(?1-?)]HexNAc']" + "['Hex(?1-?)HexNAc(?1-?)HexNAc',\n", + " 'Hex(?1-?)[HexNAc(?1-?)]HexNAc',\n", + " 'HexNAc(?1-?)Hex(?1-?)HexNAc']" ] }, "execution_count": null, diff --git a/glycowork/motif/regex.py b/glycowork/motif/regex.py index 6c598722..19c517e0 100644 --- a/glycowork/motif/regex.py +++ b/glycowork/motif/regex.py @@ -633,3 +633,18 @@ def get_match(pattern, glycan, return_matches = True): else: return False if not return_matches else [] return False if not return_matches else [] + + +def get_match_batch(pattern, glycan_list, return_matches = True): + """finds matches for a glyco-regular expression in a list of glycans\n + | Arguments: + | :- + | pattern (string): glyco-regular expression in the form of "Hex-HexNAc-([Hex|Fuc]){1,2}-HexNAc"; accepts pre-compiled pattern + | glycan_list (list of strings): list of glycan sequence in IUPAC-condensed + | return_matches (bool): whether to return True/False or return the matches as a list of strings; default:True\n + | Returns: + | :- + | Returns either a list of booleans (return_matches = False) or a list of list of matches as strings (return_matches = True) + """ + pattern = compile_pattern(pattern) + return [get_match(pattern, g, return_matches = return_matches) for g in glycan_list]