title: Bioinformatics tools for genome mining of polyketide and non-ribosomal peptides.
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.
authors.affiliation: Departments of Chemistry and Biology, Center for Advanced Research in Environmental Genomics, University of Ottawa, Ottawa, ON, K1N 6N5, Canada, cboddy@uottawa.ca.
authors.forename: Christopher N
authors.initials: CN
authors.lastname: Boddy
mesh_terms: D001688:Biological Products / Q000737:chemistry / Q000378:metabolism*; D053898:Biosynthetic Pathways / Q000235:genetics; D016680:Genome, Bacterial; D023281:Genomics / Q000379:methods; D006801:Humans; D046908:Peptide Biosynthesis, Nucleic Acid-Independent; D010455:Peptides / Q000378:metabolism; D061065:Polyketides / Q000378:metabolism*
chemical_list: D001688:Biological Products; D010455:Peptides; D061065:Polyketides