Sequence-based classification of type II polyketide synthase biosynthetic gene clusters for antiSMASH

Rasmus Villebro, Simon Shaw, Kai Blin, Tilmann Weber*

*Corresponding author for this work

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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 .
Original languageEnglish
JournalJournal of Industrial Microbiology and Biotechnology
Issue number3-4
Pages (from-to)469-475
Publication statusPublished - 2019


  • Aromatic polyketides
  • Genome mining
  • Natural product
  • PKS
  • Secondary metabolite
  • Type II polyketide synthases


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