Interaction-site prediction for protein complexes: a critical assessment

Bioinformatics. 2007 Sep 1;23(17):2203-9. doi: 10.1093/bioinformatics/btm323. Epub 2007 Jun 22.

Abstract

Motivation: Proteins function through interactions with other proteins and biomolecules. Protein-protein interfaces hold key information toward molecular understanding of protein function. In the past few years, there have been intensive efforts in developing methods for predicting protein interface residues. A review that presents the current status of interface prediction and an overview of its applications and project future developments is in order.

Summary: Interface prediction methods rely on a wide range of sequence, structural and physical attributes that distinguish interface residues from non-interface surface residues. The input data are manipulated into either a numerical value or a probability representing the potential for a residue to be inside a protein interface. Predictions are now satisfactory for complex-forming proteins that are well represented in the Protein Data Bank, but less so for under-represented ones. Future developments will be directed at tackling problems such as building structural models for multi-component structural complexes.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Algorithms*
  • Amino Acid Sequence
  • Binding Sites
  • Computer Simulation
  • Models, Chemical*
  • Models, Molecular*
  • Molecular Sequence Data
  • Protein Binding
  • Protein Interaction Mapping / methods*
  • Proteins / chemistry*
  • Proteins / ultrastructure
  • Sequence Analysis, Protein / methods*

Substances

  • Proteins