Update README.md

README.md

@@ -1,12 +1,12 @@
-# BIPSPI v2: Enhancing partner-specific binding site prediction with better data
+# BIPSPI+: Enhancing partner-specific binding site prediction with better data
 
 [BIPSPI](http://bipspi.cnb.csic.es/xgbPredApp/) (xgBoost Interface Prediction of Specific Partner Interactions) is a partner specific 
-binding site predictor that employs the XGBoost algorithm. BIPSPI v2 has been trained on
+binding site predictor that employs the XGBoost algorithm. This new version, BIPSPI+, has been trained on
 newer and larger datasets compiled from the PDB, severely improving its performance.
-<br>BIPSPI v2 can be employed to predict partner-specific binding sites given two atomic models, 
+<br>BIPSPI+ can be employed to predict partner-specific binding sites given two atomic models, 
 two sequences, or one sequence and one structure.
 
-BIPSPI v2 is distributed as a Docker image and as a GitHub repository. Installation is only required in
+BIPSPI+ is distributed as a Docker image and as a GitHub repository. Installation is only required in
 the latter case. Complete guide can be found in:
 
 - [DOCKER image](docs/docker_help.md)
@@ -17,8 +17,8 @@ the latter case. Complete guide can be found in:
 
 
 - Homo-complexes and hetero-complex specific models, boosting performance especially when predicting homo-complexes.
-- Sequence vs structure mode. Version 1 could only be executed with two sequences or two structures. Now one sequence and one structure could be used as input as well. 
-- Atomatic correlated mutations (optional) 
+- Sequence vs structure mode. Original version could only be executed with two sequences or two structures. Now one sequence and one structure could be used as input as well. 
+- Atomatic correlated mutations (optinal)