antiSMASH 6.0: improving cluster detection and comparison capabilities

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ID: 290642
2021
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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. Here, we present version 6 of the secondary/specialized metabolite genome mining platform antiSMASH with improved detection capabilities, a new cluster compare feature and many further improvements. Here, we present version 6 of the secondary/specialized metabolite genome mining platform antiSMASH with improved detection capabilities, a new cluster compare feature and many further improvements.
Reference Key
openalex_W3161596995 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kai Blin, Simon J. Shaw, Alexander Kloosterman, Zachary Charlop–Powers, Gilles P. van Wezel, Marnix H. Medema, Tilmann Weber
Journal Nucleic Acids Research
Year 2021
DOI
10.1093/nar/gkab335
URL
https://academic.oup.com/nar/article-pdf/49/W1/W29/38841738/gkab335.pdf
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