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Predicting Protein-Protein Interface Residues Using Local Surface Structural Similarity
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Predicting Protein-Protein Interface Residues Using Local Surface Structural Similarity

Predicting Protein-Protein Interface Residues Using Local Surface Structural Similarity
News

Predicting Protein-Protein Interface Residues Using Local Surface Structural Similarity

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In the past decade, significant efforts have been devoted to characterization as well as discovery of these interactions both in silico and in vivo. Of particular interest is the identification of the amino acid residues that participate in protein-protein interactions because of its importance in elucidation of mechanisms that underlay biological function and rational drug design (among other applications). However, experimental determination of interface residues is expensive, labor intensive, and time consuming. Hence, there is an urgent need for computational methods for reliably identifying from the sequence or structure of a query protein, the subset of residues that are likely to be involved in the interaction of that protein with one or more other proteins.

This article is published online in BMC Bioinformatics and is free to access.

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