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)
57 Downloads (Pure)

Abstract

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"(https://antismash.secondarymetabolites.org/) 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
Volume49
Issue numberW1
DOIs
Publication statusPublished - 02 Jul 2021

Keywords

  • international
  • Plan_S-Compliant-OA

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