Finding needles in haystacks: Reranking DOT results by using shape complementarity, cluster analysis, and biological information
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Updated: Sep 25, 2026

07:35
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Dennis S Law1, Lynn F Ten Eyck, Omer Katzenelson
1San Diego Supercomputer Center, University of California at San Diego, La Jolla 92093-0527, USA.
Proteins
|June 5, 2003
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.