Little textual information changes.

README.md

@@ -86,4 +86,4 @@ PRESCOTT is implemented in Python 3 and R. It has been tested only on Linux. Sin
 
 
 # Cite 
-Laine E, Karami Y, Carbone A. GEMME: A Simple and Fast Global Epistatic Model Predicting Mutational Effects. Molecular Biology and Evolution, Volume 36, Issue 11, November 2019, Pages 2604–2619
+Coming soon...

prescott/escott.py

@@ -2,7 +2,7 @@
 
 # Copyright (c) 2018: Elodie Laine
 # Copyright (c) 2022-2023: Mustafa Tekpinar
-# This code is part of the gemme package and governed by its license.
+# This code is part of the prescott package and governed by its license.
 # Please see the LICENSE.txt file included as part of this package.
 
 import sys
@@ -897,15 +897,14 @@ def parse_command_line():
     parser = argparse.ArgumentParser(
         prog="escott",
         description="""
-            PRESCOTT (Evolutionary and Structural Global Epistasis Model for predicting Mutational Effects) 
-            is a tool to predict mutational outcomes based on sequence and structure analysis
+            PRESCOTT (Population awaRe Epistatic and StruCtural mOdel of muTational effecTs) 
+            is a tool to predict mutational outcomes.
             """,
         epilog="""
             It has been developed at LCQB (Laboratory of Computational and
             Quantitative Biology), UMR 7238 CNRS, Sorbonne Université.
             If you use it, please cite:
-            Laine E, Karami Y, Carbone A. Predicting Protein Mutational Landscapes
-            using Evolutionary Conservation and Global Epistasis
+            Coming soon...
             """,
     )
 

prescott/prescott.py

+# Copyright (c) 2022-2023: Mustafa Tekpinar
+# This code is part of the prescott package and governed by its license.
+# Please see the LICENSE.txt file included as part of this package.
 import os
 import sys
 import matplotlib.pyplot as plt