Automatic Identification of pockets and cavities in proteins structure, and quantitation of their volumes using Delaunay triangulation. Available also as PyMOL plugin

Automatic identification of pockets and cavities in proteins structure, and quantitation of their volumes.

Grid-based technique for the analysis of protein pockets. PocketPicker available as a plugin for PyMOL

 

Binding Site Prediction

ConSurf

 

Identification of functional regions in proteins by surface-mapping of phylogenetic information

 

 

Identification protein interaction sites. It uses sequence conservation patterns in homologous proteins to distinguish between residues that are conserved due to structural restraints from those due to functional restraints.  

 

 

 

The server utilizes protein-structure prediction to provide structural models of the binding site. Ligands bound to structures are superimposed onto the model and use to predict the binding site.

 

FINDSITE

 

A threading-based method for ligand-binding site prediction and functional annotation based on binding-site similarity across superimposed groups of threading templates.

 

LIGSITE^csc

 

metaPocketA meta server for ligand-binding site prediction. metaPocket use LIGSITE^csc, PASS, Q-SiteFinder and SURFNET