Chapter title |
Bioinformatics for Prohormone and Neuropeptide Discovery
|
---|---|
Chapter number | 5 |
Book title |
Peptidomics
|
Published by |
Humana Press, New York, NY, February 2018
|
DOI | 10.1007/978-1-4939-7537-2_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7536-5, 978-1-4939-7537-2
|
Authors |
Bruce R. Southey, Elena V. Romanova, Sandra L. Rodriguez-Zas, Jonathan V. Sweedler |
Abstract |
Neuropeptides and peptide hormones are signaling molecules produced via complex post-translational modifications of precursor proteins known as prohormones. Neuropeptides activate specific receptors and are associated with the regulation of physiological systems and behaviors. The identification of prohormones-and the neuropeptides created by these prohormones-from genomic assemblies has become essential to support the annotation and use of the rapidly growing number of sequenced genomes. Here we describe a methodology for identifying the prohormone complement from genomic assemblies that employs widely available public toolsets and databases. The uncovered prohormone sequences can then be screened for putative neuropeptides to enable accurate proteomic discovery and validation. |
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Members of the public | 1 | 100% |
Mendeley readers
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Unknown | 6 | 100% |
Demographic breakdown
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Other | 2 | 33% |
Librarian | 1 | 17% |
Student > Ph. D. Student | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 1 | 17% |
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Biochemistry, Genetics and Molecular Biology | 3 | 50% |
Environmental Science | 1 | 17% |
Chemistry | 1 | 17% |
Unknown | 1 | 17% |