AntiSMASH 6.0: Improving cluster detection and comparison capabilities

Kai Blin* (Corresponding author), Simon Shaw, Alexander M. Kloosterman, Zach Charlop-Powers, Gilles P. Van Wezel, Marnix H. Medema (Corresponding author), Tilmann Weber (Corresponding author)

*Corresponding author for this work

Research output: Contribution to journal/periodicalArticleScientificpeer-review

1404 Citations (Scopus)
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Many microorganisms produce natural products that form the basis of antimicrobials, antivirals, and other drugs. Genome mining is routinely used to complement screening-based workflows to discover novel natural products. Since 2011, the "antibiotics and secondary metabolite analysis shell - antiSMASH"( has supported researchers in their microbial genome mining tasks, both as a free-to-use web server and as a standalone tool under an OSI-approved open-source license. It is currently the most widely used tool for detecting and characterising biosynthetic gene clusters (BGCs) in bacteria and fungi. Here, we present the updated version 6 of antiSMASH. antiSMASH 6 increases the number of supported cluster types from 58 to 71, displays the modular structure of multi-modular BGCs, adds a new BGC comparison algorithm, allows for the integration of results from other prediction tools, and more effectively detects tailoring enzymes in RiPP clusters.

Original languageEnglish
Pages (from-to)W29-W35
JournalNucleic Acids Research
Issue numberW1
Publication statusPublished - 02 Jul 2021


  • international
  • Plan_S-Compliant-OA


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