Exploiting structural and topological information to improve prediction of RNA-protein binding sites.

ABSTRACT:

Background

RNA-protein interactions are important for a wide range of biological processes. Current computational methods to predict interacting residues in RNA-protein interfaces predominately rely on sequence data. It is, however, known that interface residue propensity is closely correlated with structural properties. In this paper we systematically study information obtained from sequences and structures and compare their contributions in this prediction problem. Particularly, different geometrical and network topological properties of protein structures are evaluated to improve interface residue prediction accuracy.

Results

We have quantified the impact of structural information on the prediction accuracy in comparison to the purely sequence based approach using two mac

SUBMITTER: Maetschke SR 

PROVIDER: S-EPMC2774325 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature