Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1516
Title: Uncovering conserved patterns in bioactive peptides in Metazoa
Authors: LIU, Feng 
Baggerman, G.
Schoofs, L.
WETS, Geert 
Issue Date: 2006
Publisher: Elsevier
Source: PEPTIDES, 27(12). p. 3137-3153
Abstract: Bioactive (neuro)peptides play critical roles in regulating most biological processes in animals. Peptides belonging to the same family are characterized by a typical sequence pattern that is conserved among the family's peptide members. Such a conserved pattern or motif usually corresponds to the functionally important part of the biologically active peptide. In this paper, all known bioactive (neuro)peptides annotated in Swiss-Prot and TrEMBL protein databases are collected, and the pattern searching program Pratt is used to search these unaligned peptide sequences for conserved patterns. The obtained patterns are then refined by combining the information on amino acids at important functional sites collected from the literature. All the identified patterns are further tested by scanning them against Swiss-Prot and TrEMBL protein databases. The diagnostic power of each pattern is validated by the fact that any annotated protein from Swiss-Prot and TrEMBL that contains one of the established patterns, is indeed a known (neuro)peptide precursor. We discovered 155 novel peptide patterns in addition to the 56 established ones in the PROSITE database. All the patterns cover 110 peptide families. Fifty-five of these families are not characterized by the PROSITE signatures, and 12 are also not identified by other existing motif databases, such as Pfam and SMART. Using the newly identified peptide signatures as a search tool, we predicted 95 hypothetical proteins as putative peptide precursors.
Keywords: Neuropeptide; Toxin; Growth factor; Peptide precursor; Conserved pattern; PROSITE database; Pratt; Motif database; Peptide signature
Document URI: http://hdl.handle.net/1942/1516
ISSN: 0196-9781
e-ISSN: 1873-5169
DOI: 10.1016/j.peptides.2006.08.021
ISI #: 000242821300015
Category: A1
Type: Journal Contribution
Validations: ecoom 2008
Appears in Collections:Research publications

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