Finding needles in haystacks: Reranking DOT results by using shape complementarity, cluster analysis, and biological information.
Autor: | Law DS; San Diego Supercomputer Center, University of California at San Diego, La Jolla 92093-0527, USA., Ten Eyck LF, Katzenelson O, Tsigelny I, Roberts VA, Pique ME, Mitchell JC |
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Jazyk: | angličtina |
Zdroj: | Proteins [Proteins] 2003 Jul 01; Vol. 52 (1), pp. 33-40. |
DOI: | 10.1002/prot.10395 |
Abstrakt: | We present an evaluation of our results for the first Critical Assessment of PRedicted Interaction (CAPRI). The methods used include the molecular docking program DOT, shape analysis tool FADE, cluster analysis and filtering based on biological data. Good results were obtained for most of the seven CAPRI targets, and for two systems, submissions having the highest number of correctly predicted contacts were produced. (Copyright 2003 Wiley-Liss, Inc.) |
Databáze: | MEDLINE |
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