Predicting protein-protein interface residues using local surface structural similarity.

ABSTRACT:

Background

Identification of the residues in protein-protein interaction sites has a significant impact in problems such as drug discovery. Motivated by the observation that the set of interface residues of a protein tend to be conserved even among remote structural homologs, we introduce PrISE, a family of local structural similarity-based computational methods for predicting protein-protein interface residues.

Results

We present a novel representation of the surface residues of a protein in the form of structural elements. Each structural element consists of a central residue and its surface neighbors. The PrISE family of interface prediction methods uses a representation of structural elements that captures the atomic composition and accessible surface area of the residue

SUBMITTER: Jordan RA 

PROVIDER: S-EPMC3386866 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature