Title
Bioinformatic analysis of peptide precursor proteins
Author
Faculty/Department
Faculty of Sciences. Biology
Publication type
article
Publication
New York, N.Y. ,
Subject
Chemistry
Biology
Human medicine
Engineering sciences. Technology
Source (journal)
Annals of the New York Academy of Sciences / New York Academy of Sciences. - New York, N.Y.
Volume/pages
1040(2005) , p. 59-65
ISSN
0077-8923
ISI
000230936100006
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
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.
E-info
https://repository.uantwerpen.be/docman/iruaauth/c71167/6379653.pdf
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