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Development and validation of a modular, extensible docking program: DOCK 5

  • Demetri T. Moustakas
  • , P. Therese Lang
  • , Scott Pegg
  • , Eric Pettersen
  • , Irwin D. Kuntz
  • , Natasja Brooijmans
  • , Robert C. Rizzo
  • University of California at San Francisco
  • University of California at Berkeley

Research output: Contribution to journalArticlepeer-review

413 Scopus citations

Abstract

We report on the development and validation of a new version of DOCK. The algorithm has been rewritten in a modular format, which allows for easy implementation of new scoring functions, sampling methods and analysis tools. We validated the sampling algorithm with a test set of 114 protein-ligand complexes. Using an optimized parameter set, we are able to reproduce the crystal ligand pose to within 2 Å of the crystal structure for 79% of the test cases using our rigid ligand docking algorithm with an average run time of 1 min per complex and for 72% of the test cases using our flexible ligand docking algorithm with an average run time of 5 min per complex. Finally, we perform an analysis of the docking failures in the test set and determine that the sampling algorithm is generally sufficient for the binding pose prediction problem for up to 7 rotatable bonds; i.e. 99% of the rigid ligand docking cases and 95% of the flexible ligand docking cases are sampled successfully. We point out that success rates could be improved through more advanced modeling of the receptor prior to docking and through improvement of the force field parameters, particularly for structures containing metal-based cofactors.

Original languageEnglish
Pages (from-to)601-619
Number of pages19
JournalJournal of Computer-Aided Molecular Design
Volume20
Issue number10-11
DOIs
StatePublished - Oct 2006

Keywords

  • Automated docking
  • Binding mode prediction
  • Flexible docking
  • Incremental construction
  • Scoring functions
  • Structure-based drug design
  • Validation

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