| Literature DB >> 30610412 |
Rasmus Villebro1, Simon Shaw1, Kai Blin2, Tilmann Weber3.
Abstract
The software antiSMASH examines microbial genome data to identify and analyze biosynthetic gene clusters for a wide range of natural products. So far, type II polyketide synthase (PKS) gene clusters could only be identified, but no detailed predictions for type II PKS gene clusters could be provided. In this study, an antiSMASH module for analyzing type II PKS gene clusters has been developed. The module detects genes/proteins in the type II PKS gene cluster involved with polyketide biosynthesis and is able to make predictions about the aromatic polyketide product. Predictions include the putative starter unit, the number of malonyl elongations during polyketide biosynthesis, the putative class and the molecular weight of the product. Furthermore, putative cyclization patterns are predicted. The accuracy of the predictions generated with the new PKSII antiSMASH module was evaluated using a leave-one-out cross validation. The prediction module is available in antiSMASH version 5 at https://antismash.secondarymetabolites.org .Entities:
Keywords: Aromatic polyketides; Genome mining; Natural product; PKS; Secondary metabolite; Type II polyketide synthases
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Year: 2019 PMID: 30610412 DOI: 10.1007/s10295-018-02131-9
Source DB: PubMed Journal: J Ind Microbiol Biotechnol ISSN: 1367-5435 Impact factor: 3.346