COFACTOR: an accurate comparative algorithm for structure-based protein function annotation.

Abstract:

:We have developed a new COFACTOR webserver for automated structure-based protein function annotation. Starting from a structural model, given by either experimental determination or computational modeling, COFACTOR first identifies template proteins of similar folds and functional sites by threading the target structure through three representative template libraries that have known protein-ligand binding interactions, Enzyme Commission number or Gene Ontology terms. The biological function insights in these three aspects are then deduced from the functional templates, the confidence of which is evaluated by a scoring function that combines both global and local structural similarities. The algorithm has been extensively benchmarked by large-scale benchmarking tests and demonstrated significant advantages compared to traditional sequence-based methods. In the recent community-wide CASP9 experiment, COFACTOR was ranked as the best method for protein-ligand binding site predictions. The COFACTOR sever and the template libraries are freely available at http://zhanglab.ccmb.med.umich.edu/COFACTOR.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Roy A,Yang J,Zhang Y

doi

10.1093/nar/gks372

subject

Has Abstract

pub_date

2012-07-01 00:00:00

pages

W471-7

issue

Web Server issue

eissn

0305-1048

issn

1362-4962

pii

gks372

journal_volume

40

pub_type

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