Optimised amino acid specific weighting factors for unbound protein docking

BMC Bioinformatics. 2006 Jul 14:7:344. doi: 10.1186/1471-2105-7-344.

Abstract

Background: One of the most challenging aspects of protein-protein docking is the inclusion of flexibility into the docking procedure. We developed a postfilter where the grid-representation of proteins for docking is extended by an optimised weighting factor for each amino acid.

Results: For up to 86% of the evaluated complexes a near-native structure was within the top 5% of the ranked prediction output. The weighting factors obtained by the optimisation procedure correlate to a certain extent with the flexibility of the amino acids, their hydrophobicity and with their propensity to be in the interface.

Conclusion: Use of the optimised amino acid specific parameters yields a strong increase of near-native structures on the first ranks of the prediction.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Amino Acids / chemistry*
  • Animals
  • Computational Biology / methods*
  • Computer Simulation
  • Databases, Protein
  • Humans
  • Models, Molecular
  • Models, Statistical
  • Protein Binding
  • Protein Folding
  • Proteins / chemistry*
  • Reproducibility of Results
  • Sequence Analysis, Protein / methods*

Substances

  • Amino Acids
  • Proteins