Sequence-based classification of type II polyketide synthase biosynthetic gene clusters for antiSMASH
نویسندگان
چکیده
منابع مشابه
antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters
Microbial secondary metabolism constitutes a rich source of antibiotics, chemotherapeutics, insecticides and other high-value chemicals. Genome mining of gene clusters that encode the biosynthetic pathways for these metabolites has become a key methodology for novel compound discovery. In 2011, we introduced antiSMASH, a web server and stand-alone tool for the automatic genomic identification a...
متن کاملRecent development of antiSMASH and other computational approaches to mine secondary metabolite biosynthetic gene clusters.
Many drugs are derived from small molecules produced by microorganisms and plants, so-called natural products. Natural products have diverse chemical structures, but the biosynthetic pathways producing those compounds are often organized as biosynthetic gene clusters (BGCs) and follow a highly conserved biosynthetic logic. This allows for the identification of core biosynthetic enzymes using ge...
متن کاملThe antiSMASH database, a comprehensive database of microbial secondary metabolite biosynthetic gene clusters
Secondary metabolites produced by microorganisms are the main source of bioactive compounds that are in use as antimicrobial and anticancer drugs, fungicides, herbicides and pesticides. In the last decade, the increasing availability of microbial genomes has established genome mining as a very important method for the identification of their biosynthetic gene clusters (BGCs). One of the most po...
متن کاملBioinformatics Prediction of Polyketide Synthase Gene Clusters from Mycosphaerella fijiensis
Mycosphaerella fijiensis, causal agent of black Sigatoka disease of banana, is a Dothideomycete fungus closely related to fungi that produce polyketides important for plant pathogenicity. We utilized the M. fijiensis genome sequence to predict PKS genes and their gene clusters and make bioinformatics predictions about the types of compounds produced by these clusters. Eight PKS gene clusters we...
متن کاملExpanding our Understanding of Sequence-Function Relationships of Type II Polyketide Biosynthetic Gene Clusters: Bioinformatics-Guided Identification of Frankiamicin A from Frankia sp. EAN1pec
A large and rapidly increasing number of unstudied "orphan" natural product biosynthetic gene clusters are being uncovered in sequenced microbial genomes. An important goal of modern natural products research is to be able to accurately predict natural product structures and biosynthetic pathways from these gene cluster sequences. This requires both development of bioinformatic methods for glob...
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ژورنال
عنوان ژورنال: Journal of Industrial Microbiology and Biotechnology
سال: 2019
ISSN: 1476-5535,1367-5435
DOI: 10.1007/s10295-018-02131-9