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Protein ranking: from local to global structure in the protein similarity network.


ABSTRACT: Biologists regularly search databases of DNA or protein sequences for evolutionary or functional relationships to a given query sequence. We describe a ranking algorithm that exploits the entire network structure of similarity relationships among proteins in a sequence database by performing a diffusion operation on a precomputed, weighted network. The resulting ranking algorithm, evaluated by using a human-curated database of protein structures, is efficient and provides significantly better rankings than a local network search algorithm such as psi-blast.

SUBMITTER: Weston J 

PROVIDER: S-EPMC404084 | biostudies-other | 2004 Apr

REPOSITORIES: biostudies-other

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Protein ranking: from local to global structure in the protein similarity network.

Weston Jason J   Elisseeff Andre A   Zhou Dengyong D   Leslie Christina S CS   Noble William Stafford WS  

Proceedings of the National Academy of Sciences of the United States of America 20040415 17


Biologists regularly search databases of DNA or protein sequences for evolutionary or functional relationships to a given query sequence. We describe a ranking algorithm that exploits the entire network structure of similarity relationships among proteins in a sequence database by performing a diffusion operation on a precomputed, weighted network. The resulting ranking algorithm, evaluated by using a human-curated database of protein structures, is efficient and provides significantly better ra  ...[more]

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