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

Proc Natl Acad Sci U S A, Vol. 101, No. 17. (27 April 2004), pp. 6559-6563.

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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.


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