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Protein Sci. 2001 Dec;10(12):2460-9.

Motif-based fold assignment.

Author information

1
Department of Chemistry, UCLA-DOE Laboratory of Structural Biology and Molecular Medicine, UCLA, Los Angeles, California 90095-1570, USA.

Abstract

Conventional fold recognition techniques rely mainly on the analysis of the entire sequence of a protein. We present an MBA method to improve performance of any conventional sequence-based fold assignment. The method uses sequence motifs, such as those defined in the Prosite database, and the SwissProt annotation of the fold library. When combined with a simple SDP method, the coverage of MBA is comparable to the results obtained with PSI-BLAST. However, the set of the MBA predictions is significantly different from that of PSI-BLAST, leading to a 40% increase of the coverage for the combined MBA/PSI-BLAST method. The MBA approach can be easily adopted to include the results of sequence-independent function prediction methods and alternative motif and annotation databases. The method is available through the web server localized at http://www.doe-mbi.ucla.edu/mba.

PMID:
11714913
PMCID:
PMC2374048
DOI:
10.1110/ps.14401
[Indexed for MEDLINE]
Free PMC Article
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