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Cited by 706

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

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

Open access
Roy, Ambrish, Yang, Jianyi, Zhang, Yang·2012·Nucleic Acids Research
DOI 10.1093/nar/gks372
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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.

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Citations

Cites

Research works printed but not linked: 26

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Metadata

Authors
Roy, A., Yang, J., & Zhang, Y.
Venue
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Published
2012-05-08
Volume
40
Issue
W1
Pages
W471-W477
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
DOI
10.1093/nar/gks372
OpenAlex
W2104812418
Cited by
706
References
6
FWCI
22.07
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by-nc/3.0 (vor, 1611 d)

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