Campus Units
Genetics, Development and Cell Biology, Bioinformatics and Computational Biology
Document Type
Article
Publication Version
Published Version
Publication Date
2015
Journal or Book Title
FEBS Letters
Volume
589
Issue
23
First Page
3516
Last Page
3526
DOI
10.1016/j.febslet.2015.10.003
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.
Rights
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Copyright Owner
The Authors
Copyright Date
2015
Language
en
File Format
application/pdf
Recommended Citation
Xue, Li C.; Dobbs, Drena; Bonvin, Alexandre M.J.J.; and Honavar, Vasant, "Computational prediction of protein interfaces: A review of data driven methods" (2015). Genetics, Development and Cell Biology Publications. 121.
https://lib.dr.iastate.edu/gdcb_las_pubs/121
Included in
Bioinformatics Commons, Cell and Developmental Biology Commons, Computational Biology Commons
Comments
This article is from FEBS Letters 589 (2015): 3516, doi: 10.1016/j.febslet.2015.10.003. Posted with permission.