diff --git a/scripts/combining_dfs.py b/scripts/combining_dfs.py
index 53361c7..2573f5d 100755
--- a/scripts/combining_dfs.py
+++ b/scripts/combining_dfs.py
@@ -116,6 +116,7 @@ if not outdir:
 #=======
 gene_list_normal = ["pnca", "katg", "rpob", "alr"]
 
+#FIXME: for gid, this should be SRY as this is the drug...please check!!!!
 if gene.lower() == "gid":
     print("\nReading mCSM file for gene:", gene)
     in_filename_mcsm = gene.lower() + '_complex_mcsm_norm_SAM.csv'
@@ -178,6 +179,8 @@ if gene.lower() in geneL_dy_na :
     infile_mcsm_na        = outdir + 'mcsm_na_results/' + infilename_mcsm_na 
     mcsm_na_df            = pd.read_csv(infile_mcsm_na, sep = ',')
 
+# FIXME: ppi2, not extracted as expected for alr
+# TODO: get mcsm_ppi2 data for alr
 # ONLY:for gene embb and alr: End logic should pick this up!
 geneL_ppi2 = ["embb", "alr"]
 #if gene.lower() == "embb" or "alr":
@@ -336,6 +339,7 @@ if len(deepddg_df.loc[:,'chain_id'].value_counts()) > 1:
           , "\nChains:", deepddg_df.loc[:,'chain_id'].value_counts().index)
     
 #--------------------------
+# FIXME: This needs to happen BEFORE scaling as it will vary
 # subset chain
 #--------------------------
 if gene.lower() == "embb":
@@ -709,4 +713,4 @@ combined_all_params.to_csv(outfile_comb, index = False)
 print('\nFinished writing file:'
       , '\nNo. of rows:', combined_all_params.shape[0]
       , '\nNo. of cols:', combined_all_params.shape[1])
-#%% end of script
\ No newline at end of file
+#%% end of script