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Finding needles in haystacks: Reranking DOT results by using shape complementarity, cluster analysis, and biological information
Author(s) -
Law Dennis S.,
Ten Eyck Lynn F.,
Katzenelson Omer,
Tsigelny Igor,
Roberts Victoria A.,
Pique Mike E.,
Mitchell Julie C.
Publication year - 2003
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.10395
Subject(s) - cluster (spacecraft) , complementarity (molecular biology) , computer science , data mining , biology , programming language , genetics
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. Proteins 2003;52:33–40. © 2003 Wiley‐Liss, Inc.