Title
Bioinformatic approaches to the identification of novel neuropeptide precursors Bioinformatic approaches to the identification of novel neuropeptide precursors
Author
Faculty/Department
Faculty of Sciences. Biology
Publication type
article
Publication
Totowa, N.J. ,
Subject
Biology
Human medicine
Source (journal)
Methods in molecular biology. - Totowa, N.J., 1984, currens
Volume/pages
615(2010) , p. 357-374
ISSN
1064-3745
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Abstract
With the entire genome sequence of several animals now available, it is becoming possible to identify in silico all putative peptides and their precursors in an organism. In this chapter we describe a searching algorithm that can be used to scan the genome for predicted proteins with the structural hallmarks of (neuro)peptide precursors. We also describe how to use search strings such as the presence of a glycine residue as a putative amidation site, dibasic cleavage sites, the presence of a signal peptide, and specific peptide motifs to improve a standard BLAST search and make it suitable for searching (neuro)peptides in EST data. We briefly explain how bioinformatic tools and in silico predicted peptide precursor sequences can aid experimental peptide identification with mass spectrometry.