Approaching the CAPRI challenge with an efficient geometry-based docking

Yuval Inbar, Dina Schneidman-Duhovny, Inbal Halperin, Assaf Oron, Ruth Nussinov, Haim J. Wolfson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


The last 3 rounds (3-5) of CAPRI included a wide range of docking targets. Several targets were especially challenging, since they involved large-scale movements and symmetric rearrangement, while others were based on homology models. We have approached the targets with a variety of geometry-based docking algorithms that include rigid docking, symmetric docking, and flexible docking with symmetry constraints. For all but 1 docking target, we were able to submit at least 1 acceptable quality prediction. Here, we detail for each target the prediction methods used and the specific biological data employed, and supply a retrospective analysis of the results. We highlight the advantages of our techniques, which efficiently exploit the geometric shape complementarity properties of the interaction. These enable them to run only few minutes on a standard PC even for flexible docking, thus proving their scalability toward computational genomic scale experiments. We also outline the major required enhancements, such as the introduction of side-chain position refinement and the introduction of flexibility for both docking partners.

Original languageAmerican English
Pages (from-to)217-223
Number of pages7
JournalProteins: Structure, Function and Genetics
Issue number2
StatePublished - 1 Aug 2005
Externally publishedYes


  • FlexDock
  • Flexible docking
  • PatchDock
  • SymmDock
  • Symmetry docking
  • Unbound docking


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