diff --git a/metax/taxafunc_analyzer/analyzer_utils/razor_sum.py b/metax/taxafunc_analyzer/analyzer_utils/razor_sum.py
index 6c9aa04..00e025e 100644
--- a/metax/taxafunc_analyzer/analyzer_utils/razor_sum.py
+++ b/metax/taxafunc_analyzer/analyzer_utils/razor_sum.py
@@ -80,8 +80,10 @@ def remove_proteins(proteins):
         
         
         df = self.df.copy()
-        df[self.column_map['target']] = df[self.column_map['target']].apply(remove_proteins)
         
+        tqdm.pandas(desc="Removing proteins")
+        df[self.column_map['target']] = df[self.column_map['target']].progress_apply(remove_proteins)
+                
         # remove the rows with NA protein of sellf.df
         self.df  = self.df[df[self.column_map['target']] != '']
         # print The number of proteins and peptides after removing the proteins with less than threshold peptides
@@ -265,5 +267,5 @@ def _update_output_dict(self, target_list, sample_name, intensity):
     # res_df.to_csv('razor_protein_intensity.tsv', sep='\t')
 
     # or get minimum target set only
-    mini_target_set = sia.get_mini_target_set(greedy_method='heap')
+    # mini_target_set = sia.get_mini_target_set(greedy_method='heap')
 
diff --git a/pyproject.toml b/pyproject.toml
index 4353e18..02df8b5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "MetaXTools"
-version = "1.114.1"
+version = "1.114.2"
 description = "MetaXTools is a novel tool for linking peptide sequences with taxonomic and functional information in Metaproteomics."
 readme = "README_PyPi.md"
 license = { text = "NorthOmics" }