Database-aided prediction and design of novel antimicrobial peptides

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

The isolation and characterization of potent antimicrobial peptides from natural sources has opened a new avenue to the development of future antimicrobials. To further expand the peptide space, new antimicrobial peptides can be predicted or designed based on natural peptide templates. By using the knowledge derived from mature peptides, propeptides, or both (i.e. precursor proteins), a variety of peptide prediction tools have been developed. Furthermore, bacteriocins are predicted under the genomic context by considering not only the peptide itself, but also the accompanying genes for its expression, processing and export. This chapter also discusses database-aided peptide design based on database screening, sequence shuffling, grammar-based design and de novo design. Finally, major strategies for improving peptide selectivity and stability are highlighted.

Original languageEnglish (US)
Title of host publicationAntimicrobial Peptides
Subtitle of host publicationDiscovery, Design and Novel Therapeutic Strategies
PublisherCABI Publishing
Pages72-86
Number of pages15
ISBN (Print)9781845936570
Publication statusPublished - Nov 5 2010

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ASJC Scopus subject areas

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

Cite this

Wang, G. (2010). Database-aided prediction and design of novel antimicrobial peptides. In Antimicrobial Peptides: Discovery, Design and Novel Therapeutic Strategies (pp. 72-86). CABI Publishing.