Bioinformatics for Prohormone and Neuropeptide Discovery.

Bioinformatics Cleavage Gene prediction Homology Neuropeptide Prohormone

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2024
Historique:
medline: 29 3 2024
pubmed: 29 3 2024
entrez: 29 3 2024
Statut: ppublish

Résumé

Neuropeptides and peptide hormones are signaling molecules produced via complex posttranslational 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 well-validated 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.

Identifiants

DOI: 10.1007/978-1-0716-3646-6_8 PMID: 38549013
pubmed: 38549013
doi: 10.1007/978-1-0716-3646-6_8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

151-178

Informations de copyright

© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Bruce R Southey (BR)

Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Elena V Romanova (EV)

Department of Chemistry, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Sandra L Rodriguez-Zas (SL)

Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Jonathan V Sweedler (JV)

Department of Chemistry, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA. jsweedle@illinois.edu.

Classifications MeSH