Finding needles in haystacks: Reranking DOT results by using shape complementarity, cluster analysis, and biological information

Dennis S. Law; Lynn F. Ten Eyck; Omer Katzenelson; Igor Tsigelny; Victoria A. Roberts; Mike E. Pique; Julie C. Mitchell

doi:10.1002/prot.10395

Finding needles in haystacks: Reranking DOT results by using shape complementarity, cluster analysis, and biological information

Dennis S. Law, Lynn F. Ten Eyck, Omer Katzenelson, Igor Tsigelny, Victoria A. Roberts, Mike E. Pique, Julie C. Mitchell

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	33-40
Number of pages	8
Journal	Proteins: Structure, Function and Genetics
Volume	52
Issue number	1
DOIs	https://doi.org/10.1002/prot.10395
State	Published - Jul 1 2003
Externally published	Yes

Keywords

CAPRI
Cluster analysis
DOT
FADE
Molecular docking

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10.1002/prot.10395

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AU - Katzenelson, Omer

AU - Tsigelny, Igor

AU - Roberts, Victoria A.

AU - Pique, Mike E.

AU - Mitchell, Julie C.

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KW - Cluster analysis

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KW - FADE

KW - Molecular docking

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Finding needles in haystacks: Reranking DOT results by using shape complementarity, cluster analysis, and biological information

Abstract

Keywords

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