Publication
Title
Bioinformatic analysis of peptide precursor proteins
Author
Abstract
Neuropeptides are among the most important signal molecules in animals. Traditional identification of peptide hormones through peptide purification is a tedious and time-consuming process. With the advent of the genome sequencing projects, putative peptide precursor can be mined from the genome. However, because bioactive peptides are usually quite short in length and because the active core of a peptide is often limited to only a few amino acids, using the BLAST search engine to identify neuropeptide precursors in the genome is difficult and sometimes impossible. To overcome these shortcomings, we subject the entire set of all known Drosophila melanogaster peptide precursor sequences to motif-finding algorithms in search of a motif that is common for all prepropeptides and that could be used in the search for new peptide precursors.
Language
English
Source (journal)
Annals of the New York Academy of Sciences / New York Academy of Sciences. - New York, N.Y.
Publication
New York, N.Y. : 2005
ISSN
0077-8923
Volume/pages
1040(2005), p. 59-65
ISI
000230936100006
Full text (Publishers DOI)
Full text (publishers version - intranet only)
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 25.03.2015
Last edited 23.05.2017