Title
Galaxysite: Ligand-Binding-Site Prediction By Using Molecular Docking
Abstract
Knowledge of ligand-binding sites of proteins provides invaluable information for functional studies, drug design and protein design. Recent progress in ligand-binding-site prediction methods has demonstrated that using information from similar proteins of known structures can improve predictions. The GalaxySite web server, freely accessible at http://galaxy.seoklab.org/site, combines such information with molecular docking for more precise binding-site prediction for non-metal ligands. According to the recent critical assessments of structure prediction methods held in 2010 and 2012, this server was found to be superior or comparable to other state-of-the-art programs in the category of ligand-binding-site prediction. A strong merit of the GalaxySite program is that it provides additional predictions on binding ligands and their binding poses in terms of the optimized 3D coordinates of the protein-ligand complexes, whereas other methods predict only identities of binding-site residues or copy binding geometry from similar proteins. The additional information on the specific binding geometry would be very useful for applications in functional studies and computer-aided drug discovery.
Year
DOI
Venue
2014
10.1093/nar/gku321
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
internet,binding sites,protein conformation,proteins,ligands
Docking (molecular),Drug discovery,Binding site,Biology,Ligand (biochemistry),Protein–ligand docking,Molecular Docking Simulation,Protein design,Bioinformatics,Computational biology,Genetics,Protein structure
Journal
Volume
Issue
ISSN
42
W1
0305-1048
Citations 
PageRank 
References 
9
0.54
17
Authors
4
Name
Order
Citations
PageRank
Lim Heo1474.56
Woong-Hee Shin2595.51
Myeong Sup Lee390.54
Chaok Seok416315.89