Computational prediction of protein interfaces: A review of data driven methods

Li C. Xue, Drena Dobbs, Alexandre M J J Bonvin, Vasant Honavar

Research output: Contribution to journalReview article

50 Citations (Scopus)

Abstract

Reliably pinpointing which specific amino acid residues form the interface(s) between a protein and its binding partner(s) is critical for understanding the structural and physicochemical determinants of protein recognition and binding affinity, and has wide applications in modeling and validating protein interactions predicted by high-throughput methods, in engineering proteins, and in prioritizing drug targets. Here, we review the basic concepts, principles and recent advances in computational approaches to the analysis and prediction of protein-protein interfaces. We point out caveats for objectively evaluating interface predictors, and discuss various applications of data-driven interface predictors for improving energy model-driven protein-protein docking. Finally, we stress the importance of exploiting binding partner information in reliably predicting interfaces and highlight recent advances in this emerging direction.

Original languageEnglish (US)
Pages (from-to)3516-3526
Number of pages11
JournalFEBS Letters
Volume589
Issue number23
DOIs
StatePublished - Nov 30 2015

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Proteins
Protein Binding
Protein Engineering
Amino Acids
Pharmaceutical Preparations
Throughput
Direction compound

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Genetics
  • Cell Biology

Cite this

Xue, Li C. ; Dobbs, Drena ; Bonvin, Alexandre M J J ; Honavar, Vasant. / Computational prediction of protein interfaces : A review of data driven methods. In: FEBS Letters. 2015 ; Vol. 589, No. 23. pp. 3516-3526.
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Computational prediction of protein interfaces : A review of data driven methods. / Xue, Li C.; Dobbs, Drena; Bonvin, Alexandre M J J; Honavar, Vasant.

In: FEBS Letters, Vol. 589, No. 23, 30.11.2015, p. 3516-3526.

Research output: Contribution to journalReview article

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