E1DS: catalytic site prediction based on 1D signatures of concurrent conservation.

Abstract:

:Large-scale automatic annotation of protein sequences remains challenging in postgenomics era. E1DS is designed for annotating enzyme sequences based on a repository of 1D signatures. The employed sequence signatures are derived using a novel pattern mining approach that discovers long motifs consisted of several sequential blocks (conserved segments). Each of the sequential blocks is considerably conserved among the protein members of an EC group. Moreover, a signature includes at least three sequential blocks that are concurrently conserved, i.e. frequently observed together in sequences. In other words, a sequence signature is consisted of residues from multiple regions of the protein sequence, which echoes the observation that an enzyme catalytic site is usually constituted of residues that are largely separated in the sequence. E1DS currently contains 5421 sequence signatures that in total cover 932 4-digital EC numbers. E1DS is evaluated based on a collection of enzymes with catalytic sites annotated in Catalytic Site Atlas. When compared to the famous pattern database PROSITE, predictions based on E1DS signatures are considered more sensitive in identifying catalytic sites and the involved residues. E1DS is available at http://e1ds.ee.ncku.edu.tw/ and a mirror site can be found at http://e1ds.csbb.ntu.edu.tw/.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Chien TY,Chang DT,Chen CY,Weng YZ,Hsu CM

doi

10.1093/nar/gkn324

subject

Has Abstract

pub_date

2008-07-01 00:00:00

pages

W291-6

issue

Web Server issue

eissn

0305-1048

issn

1362-4962

pii

gkn324

journal_volume

36

pub_type

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