Research Article
Highly accurate method for ligand-binding site prediction in unbound state (apo) protein structures
Article first published online: 1 MAY 2008
DOI: 10.1002/prot.22067
Copyright © 2008 Wiley-Liss, Inc.
Issue
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Proteins: Structure, Function, and Bioinformatics
Volume 73, Issue 2, pages 468–479, 1 November 2008
Additional Information
How to Cite
Morita, M., Nakamura, S. and Shimizu, K. (2008), Highly accurate method for ligand-binding site prediction in unbound state (apo) protein structures. Proteins: Structure, Function, and Bioinformatics, 73: 468–479. doi: 10.1002/prot.22067
Publication History
- Issue published online: 3 SEP 2008
- Article first published online: 1 MAY 2008
- Manuscript Accepted: 25 FEB 2008
- Manuscript Revised: 8 FEB 2008
- Manuscript Received: 23 OCT 2007
- Abstract
- Article
- References
- Cited By
Keywords:
- protein-ligand interaction;
- molecular recognition;
- binding pocket;
- substrate;
- conformational change;
- induced fit;
- energy-based method;
- van der Waals interaction energy
Abstract
This article describes a new method for predicting ligand-binding sites of proteins. The method involves calculating the van der Waals interaction energy between a protein and probes placed on the protein surface, and then clustering the probes with attractive interaction to find the energetically most favorable locus. In 80% (28/35) of the test cases, the ligand-binding site was successfully predicted on a ligand-bound protein structure, and in 77% (27/35) was successfully predicted on an unbound structure. Our method was used to successfully predict ligand-binding sites unaffected by induced-fit as long as its scales were not very large, and it contributed to a significant improvement in prediction with unbound state protein structures. This represents a significant advance over conventional methods in detecting ligand-binding sites on uncharacterized proteins. Moreover, our method can predict ligand-binding sites with a narrower locus than those achieved using conventional methods. Proteins 2008. © 2008 Wiley-Liss, Inc.

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