Bioinformatics tools for genome mining of polyketide and non-ribosomal peptides

J Ind Microbiol Biotechnol. 2014 Feb;41(2):443-50. doi: 10.1007/s10295-013-1368-1. Epub 2013 Oct 31.

Abstract

Microbial natural products have played a key role in the development of clinical agents in nearly all therapeutic areas. Recent advances in genome sequencing have revealed that there is an incredible wealth of new polyketide and non-ribosomal peptide natural product diversity to be mined from genetic data. The diversity and complexity of polyketide and non-ribosomal peptide biosynthesis has required the development of unique bioinformatics tools to identify, annotate, and predict the structures of these natural products from their biosynthetic gene clusters. This review highlights and evaluates web-based bioinformatics tools currently available to the natural product community for genome mining to discover new polyketides and non-ribosomal peptides.

Publication types

  • Review

MeSH terms

  • Biological Products / chemistry
  • Biological Products / metabolism*
  • Biosynthetic Pathways / genetics
  • Genome, Bacterial*
  • Genomics / methods
  • Humans
  • Peptide Biosynthesis, Nucleic Acid-Independent*
  • Peptides / metabolism
  • Polyketides / metabolism*

Substances

  • Biological Products
  • Peptides
  • Polyketides