diff --git a/docs/source/external_sf.rst b/docs/source/external_sf.rst
index a84e867..294951c 100644
--- a/docs/source/external_sf.rst
+++ b/docs/source/external_sf.rst
@@ -12,9 +12,7 @@ Some of the common scoring functions could be:
 .. code-block:: bash
 
   OnionNet-SFCT
-  RTMscore
-  X-score
-  zPoseScore
+  HybridSP
 
 Or any other scoring functions that use the receptor and the docking pose as input. 
 In the following part, we demostrate how external scoring functions are defined. 
@@ -183,4 +181,9 @@ Here in the following code block, try to run the external scoring function with
         score = score.detach().numpy().ravel()[0] 
         tf.write(f'{tag},{score:.3f}\n')
         tf.close()
-                                                       
+                                                      
+
+2. HybridSP
+----------------------
+HybridSP is a statistical potential trained with PDBBind dataset.
+sssss