Stephen R. Comeau, Dima Kozakov, and Ryan Brenke contributed equally to this work.
Research Article
ClusPro: Performance in CAPRI rounds 6–11 and the new server
Article first published online: 17 SEP 2007
DOI: 10.1002/prot.21795
Copyright © 2007 Wiley-Liss, Inc.
Issue
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Proteins: Structure, Function, and Bioinformatics
Special Issue: Third Meeting on the Critical Assessment of PRedicted Interactions
Volume 69, Issue 4, pages 781–785, December 2007
Additional Information
How to Cite
Comeau, S. R., Kozakov, D., Brenke, R., Shen, Y., Beglov, D. and Vajda, S. (2007), ClusPro: Performance in CAPRI rounds 6–11 and the new server. Proteins: Structure, Function, and Bioinformatics, 69: 781–785. doi: 10.1002/prot.21795
Publication History
- Issue published online: 31 OCT 2007
- Article first published online: 17 SEP 2007
- Manuscript Accepted: 17 JUL 2007
- Manuscript Revised: 13 JUL 2007
- Manuscript Received: 7 JUN 2007
- Abstract
- Article
- References
- Cited By
Keywords:
- protein docking;
- web-based computing;
- docking server;
- fast fourier transform correlation method;
- discrimination by clustering
Abstract
ClusPro is the first fully automated, web-based program for docking protein structures. Users may upload the coordinate files of two protein structures through ClusPro's web interface, or enter the PDB codes of the respective structures. The server performs rigid body docking, energy screening, and clustering to produce models. The program output is a short list of putative complexes ranked according to their clustering properties. ClusPro has been participating in CAPRI since January 2003, submitting predictions within 24 h after a target becomes available. In Rounds 6–11, ClusPro generated acceptable submissions for Targets 22, 25, and 27. In general, acceptable models were obtained for the relatively easy targets without substantial conformational changes upon binding. We also describe the new version of ClusPro that incorporates our recently developed docking program PIPER. PIPER is based on the fast Fourier transform correlation approach, but the method is extended to use pairwise interaction potentials, thereby increasing the number of near-native docked structures. Proteins 2007. © 2007 Wiley-Liss, Inc.

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