Publication
Title
Bioinformatic approaches to the identification of novel neuropeptide precursors
Author
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.
Language
English
Source (journal)
Methods in molecular biology. - Totowa, N.J., 1984, currens
Publication
Totowa, N.J. : 2010
ISSN
1064-3745 [print]
1940-6029 [online]
Volume/pages
615(2010), p. 357-374
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Record
Identification
Creation 14.03.2013
Last edited 14.03.2016