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.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages71-96
Number of pages26
DOIs
StatePublished - Jan 1 2018

Publication series

NameMethods in Molecular Biology
Volume1719
ISSN (Print)1064-3745

Keywords

  • Bioinformatics
  • Cleavage
  • Gene prediction
  • Homology
  • Neuropeptide
  • Prohormone

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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  • Cite this

    Southey, B. R., Romanova, E. V., Rodriguez-Zas, S. L., & Sweedler, J. V. (2018). Bioinformatics for prohormone and neuropeptide discovery. In Methods in Molecular Biology (pp. 71-96). (Methods in Molecular Biology; Vol. 1719). Humana Press Inc.. https://doi.org/10.1007/978-1-4939-7537-2_5