DILS '08 Proceedings of the 5th international workshop on Data Integration in the Life Sciences
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Research Article: Exploiting three kinds of interface propensities to identify protein binding sites
Computational Biology and Chemistry
CMSB '09 Proceedings of the 7th International Conference on Computational Methods in Systems Biology
Kernel methods for Calmodulin binding and binding site prediction
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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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. Contact: zhou@sb.fsu.edu