SIMPRO: simple protein homology detection method by using indirect signals

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Motivation: Detecting homologous proteins is one of the fundamental problems in computational biology. Many tools to solve this problem have been developed, but development of a simple, effective and generally applicable method is still desirable. Results: We propose a simple but effective information retrieval approach, named SIMPRO, to identify homology relationship between proteins. The key idea of our approach is that by accumulating and comparing indirect signals from conventional homology search methods, the search sensitivity can be increased. We tested the idea on the problem of detecting homology relationship between Pfam families, as well as detecting structural homologs based on SCOP, and found that our method achieved significant improvement. Our results indicate that simple manipulation of conventional homology search outputs by SIMPRO algorithm can remarkably improve homology search accuracy.
Publisher
OXFORD UNIV PRESS
Issue Date
2009-03
Language
English
Article Type
Article
Keywords

PROFILE-PROFILE ALIGNMENT; PSI-BLAST; FOLD RECOGNITION; CONSENSUS SEQUENCES; SCORING FUNCTIONS; IMPROVE; KERNELS; SIMILARITY; PROSPECT; SEARCHES

Citation

BIOINFORMATICS, v.25, no.6, pp.729 - 735

ISSN
1367-4803
DOI
10.1093/bioinformatics/btp048
URI
http://hdl.handle.net/10203/95538
Appears in Collection
BS-Journal Papers(저널논문)BiS-Journal Papers(저널논문)
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