diff --git a/sistr/sistr_cmd.py b/sistr/sistr_cmd.py
index 7a397b9..31a626d 100644
--- a/sistr/sistr_cmd.py
+++ b/sistr/sistr_cmd.py
@@ -186,14 +186,14 @@ def infer_o_antigen(prediction):
         else:
             counter_o_antigens = Counter(series_o_antigens)
             most_common_o_antigen = counter_o_antigens.most_common(1)[0][0]
-            # for O24 and O25 antigens need to remove those antigens as we do not doe any testing in the lab
+            # for O24 and O25 antigens need to remove those antigens as we do not any wet-lab testing
             if any([True if antigen in most_common_o_antigen else False for antigen in ['24','25'] ]):
-                logging.info(f"Cleaning O antigen from 24 and 25 antigens {most_common_o_antigen} ....")
+                logging.info(f"Cleaning, simplifying O antigen as 24 or 25 antigen found ...")
                 for pattern in [r",\[24\]", r",\[25\]", r",24", r",25",r"\[1\],",r"1,"]:
                     most_common_o_antigen = re.sub(pattern,'',most_common_o_antigen)
             logging.info(f"Reporting final O-antigen result {most_common_o_antigen}")        
             prediction.o_antigen = most_common_o_antigen
-    prediction.antigenic_profile=f"{prediction.o_antigen}:{prediction.h1}:{prediction.h2}"    
+    prediction.antigenic_formula=f"{prediction.o_antigen}:{prediction.h1}:{prediction.h2}"    
 
 def download_to_file(url,file):
     with open(file, 'wb') as f:
@@ -245,7 +245,7 @@ def setup_sistr_dbs():
         logging.info(f"Downloading databases successful installed at {os.path.abspath(resource_filename('sistr', 'data/'))}")
         f = open(resource_filename('sistr', 'dbstatus.txt'),'w')
         f.write("DB downloaded on : {} from {}".format(datetime.today().strftime('%Y-%m-%d'),SISTR_DB_URL))
-        logging.info(f"{f.name}")
+        logging.info(f"DB status file written at {f.name} path")
         f.close()
         
 
@@ -257,7 +257,6 @@ def setup_sistr_dbs():
 def sistr_predict(input_fasta, genome_name, tmp_dir, keep_tmp, args):
     blast_runner = None
     serovars_selected_list = []
-    print(args)
     if args.list_of_serovars:
         if os.path.exists(args.list_of_serovars):
             with open(args.list_of_serovars) as fp:
@@ -295,26 +294,21 @@ def sistr_predict(input_fasta, genome_name, tmp_dir, keep_tmp, args):
         prediction = serovar_predictor.get_serovar_prediction()
         prediction.genome = genome_name
         prediction.fasta_filepath = os.path.abspath(input_fasta)
-        print(f"sistr_cmd.py L271: Antigen serovar prediction: {prediction.serovar} and {serovar_predictor.serovar}")
+
         if cgmlst_prediction:
             merge_cgmlst_prediction(prediction, cgmlst_prediction)
-            print(f"sistr_cmd.py L275: add cgmlst_prediction_serovar: {prediction.serovar}");
         if mash_prediction:
             merge_mash_prediction(prediction, mash_prediction)
-            print(f"sistr_cmd.py L278: add mash_prediction_serovar: {prediction.serovar}");
         overall_serovar_call(prediction, serovar_predictor)
-        print(f"sistr_cmd.py L280: overall_serovar: {prediction.serovar}"); #raise Exception;
         infer_o_antigen(prediction)
         # if list of reportable serovars is provided to check prediction serovar against
         if serovars_selected_list:
             prediction.serovar_in_list = "N"
             for selected_serovar in serovars_selected_list:
                 if selected_serovar == prediction.serovar:
-                    print(selected_serovar, prediction.serovar)
                     prediction.serovar_in_list = "Y"
                     break
 
-        print(f"L288: sistr_cmd.py antigenic_formula: {prediction.antigenic_profile}")
         logging.info('%s | Antigen gene BLAST serovar prediction: "%s" serogroup=%s %s:%s:%s',
                      genome_name,
                      prediction.serovar_antigen,
diff --git a/sistr/src/serovar_prediction/__init__.py b/sistr/src/serovar_prediction/__init__.py
index cc9e2f6..fe30e03 100644
--- a/sistr/src/serovar_prediction/__init__.py
+++ b/sistr/src/serovar_prediction/__init__.py
@@ -363,7 +363,6 @@ def predict_antigens(self):
 
     @staticmethod
     def get_serovar(df, sg, h1, h2, spp):
-        #print(df.query(f'H1=="z"'))
         h2_is_missing = '-' in h2
         b_sg = df['Serogroup'].isin(sg)
         b_h1 = df['H1'].isin(h1)
@@ -445,9 +444,7 @@ def predict_serovar_from_antigen_blast(self):
 
         if not isinstance(h2, list):
             h2 = [h2]
-        print(f"L444 sistr/src/serovar_prediction/__init__.py predict_serovar_from_antigen_blast() self.serovar = {self.serovar} self.subspecies = {self.subspecies}")
         self.serovar = SerovarPredictor.get_serovar(df, sg, h1, h2, self.subspecies)
-        print(f"L446 sistr/src/serovar_prediction/__init__.py predict_serovar_from_antigen_blast() self.serovar = {self.serovar}")
         if self.serovar is None:
             try:
                 spp_roman = spp_name_to_roman[self.subspecies]
@@ -518,9 +515,6 @@ def overall_serovar_call(serovar_prediction, antigen_predictor):
     """
     assert isinstance(serovar_prediction, SerovarPrediction)
     assert isinstance(antigen_predictor, SerovarPredictor)
-    print(f"serovar_prediction: {serovar_prediction.__dict__}")
-    print(f"antigen_predictor: {antigen_predictor.__dict__}")
-    print(f"sistr/src/serovar_prediction/__init__.py L518: {serovar_prediction.serovar}")
 
     h1 = antigen_predictor.h1
     h2 = antigen_predictor.h2
@@ -533,7 +527,6 @@ def overall_serovar_call(serovar_prediction, antigen_predictor):
     serovar_prediction.serovar_antigen = antigen_predictor.serovar #assign antigen serovar from antigen_predictor object
     cgmlst_serovar = serovar_prediction.serovar_cgmlst
     cgmlst_distance = float(serovar_prediction.cgmlst_distance)
-    print(f"sistr/src/serovar_prediction/__init__.py L530: serovar_prediction.serovar_antigen ={serovar_prediction.serovar_antigen} cgmlst_serovar = {serovar_prediction.serovar_cgmlst} mash_serovar = {serovar_prediction.mash_serovar}")
 
     h1_h2_share_group = False
     for h2_groups in H2_FLJB_SIMILARITY_GROUPS:
@@ -583,11 +576,8 @@ def overall_serovar_call(serovar_prediction, antigen_predictor):
             serovar_prediction.h1_flic_prediction.h1 = h1
 
 
-    print(f"sistr/src/serovar_prediction/__init__.py L582: antigen_predictor.serovar = {antigen_predictor.serovar}")
     antigen_predictor.predict_serovar_from_antigen_blast()
-    print(f"sistr/src/serovar_prediction/__init__.py L584: antigen_predictor.serovar = {antigen_predictor.serovar}")
     serovar_prediction.serovar_antigen = antigen_predictor.serovar
-    print(f"sistr/src/serovar_prediction/__init__.py L584: serovar_prediction.serovar_antigen ={serovar_prediction.serovar_antigen}")
 
 
     null_result = '-:-:-'
@@ -607,7 +597,9 @@ def overall_serovar_call(serovar_prediction, antigen_predictor):
                 serovar_prediction.serovar = '{} {}:{}:{}'.format(spp_roman, sg, h1, h2)
             else:
                 serovar_prediction.serovar = '{}:{}:{}'.format(spp_roman, sg, h1, h2)
+            logging.info(f"Overall serovar assigned by antigen alleles serovar {serovar_prediction.serovar}")    
         elif cgmlst_serovar is not None and cgmlst_distance <= CGMLST_DISTANCE_THRESHOLD:
+            logging.info(f"Overall serovar assigned by cgMLST serovar {cgmlst_serovar} ...")
             serovar_prediction.serovar = cgmlst_serovar
         else:
             serovar_prediction.serovar = null_result
@@ -615,6 +607,7 @@ def overall_serovar_call(serovar_prediction, antigen_predictor):
                 spd = serovar_prediction.__dict__
                 mash_dist = float(spd['mash_distance'])
                 if mash_dist <= MASH_DISTANCE_THRESHOLD:
+                    logging.info(f"Overall serovar assigned by MASH serovar: {spd['mash_distance']} ...")
                     serovar_prediction.serovar = spd['mash_serovar']
     else:
         serovars_from_antigen = antigen_predictor.serovar.split('|')
@@ -622,7 +615,7 @@ def overall_serovar_call(serovar_prediction, antigen_predictor):
             serovars_from_antigen = [serovars_from_antigen]
         if cgmlst_serovar is not None:
             if cgmlst_serovar in serovars_from_antigen:
-                logging.info(f"Antigen predictor has multiple serovar results {antigen_predictor.serovar}, but assigned final cgmlst serovar {cgmlst_serovar} ...")
+                logging.info(f"Overall serovar assigned by cgMLST serovar {cgmlst_serovar} ...")
                 serovar_prediction.serovar = cgmlst_serovar
 
         elif 'mash_match' in serovar_prediction.__dict__:
@@ -631,16 +624,16 @@ def overall_serovar_call(serovar_prediction, antigen_predictor):
             mash_dist = float(spd['mash_distance'])
             if mash_serovar in serovars_from_antigen:
                 serovar_prediction.serovar = mash_serovar
-                logging.info(f"Antigen predictor has a serovar result {antigen_predictor.serovar}, but assigned final mash serovar {mash_serovar} ...")        
+                logging.info(f"Overall serovar assigned by MASH serovar {mash_serovar} ...")        
             else:
                 if mash_dist <= MASH_DISTANCE_THRESHOLD:
                     serovar_prediction.serovar = mash_serovar
-                    logging.info(f"Antigen predictor has a serovar result {antigen_predictor.serovar}, but assigned final mash serovar {mash_serovar} ...")        
+                    logging.info(f"Overall serovar assigned by MASH serovar {mash_serovar} ...")        
                 else:
-                    logging.info(f"MASH serovar prediction was NOT assigned as mash distance {mash_dist} > {MASH_DISTANCE_THRESHOLD} ")
+                    logging.info(f"Overall serovar NOT assigned by MASH serovar as closest ref. genome MASH distance {mash_dist} > {MASH_DISTANCE_THRESHOLD} ")
             
         if serovar_prediction.serovar is None:
-            logging.info(f"Antigen predictor has a serovar result {antigen_predictor.serovar} and it will be assigned as a final serovar ...")
+            logging.info(f"Overall serovar assigned by antigen alleles serovar:  {antigen_predictor.serovar}")
             serovar_prediction.serovar = serovar_prediction.serovar_antigen
 
     if serovar_prediction.h1 is None: