A database view of naturally occurring antimicrobial peptides: Nomenclature, classification and amino acid sequence analysis

Guangshun Wang, Xia Li, Michael Zasloff

Research output: Chapter in Book/Report/Conference proceedingChapter

18 Scopus citations

Abstract

The nomenclature and classification of naturally occurring antimicrobial peptides (AMPs) are complex and have not been fully standardized. The Antimicrobial Peptide Database (htt p://aps.unmc.edu/AP/ main.php) is a useful tool that facilitates peptide naming and classification. The names of AMPs are normally derived from peptide properties, source species or a combination of both. In the database, AMPs are classified based on source organisms (protozoa, bacteria, archaea, fungi, plants and animals), biological activities (antibacterial, antifungal, antiviral, antiparasitic, spermicidal and insecticidal), peptide features (charge, length, hydrophobic residue content, chemical modification and threedimensional structure), binding targets (membranes and non-membranes) and mechanisms of action of the peptides. This database also enables bioinformatic analysis of AMPs that reveals amino acid composition signatures as well as frequently occurring residues.

Original languageEnglish (US)
Title of host publicationAntimicrobial Peptides
Subtitle of host publicationDiscovery, Design and Novel Therapeutic Strategies
PublisherCABI Publishing
Pages1-21
Number of pages21
ISBN (Print)9781845936570
StatePublished - Nov 5 2010

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)
  • Agricultural and Biological Sciences(all)

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    Wang, G., Li, X., & Zasloff, M. (2010). A database view of naturally occurring antimicrobial peptides: Nomenclature, classification and amino acid sequence analysis. In Antimicrobial Peptides: Discovery, Design and Novel Therapeutic Strategies (pp. 1-21). CABI Publishing.