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antiSMASH 6.0: improving cluster detection and comparison capabilities

Nucleic acids research, 2021-07, Vol.49 (W1), p.W29-W35 [Peer Reviewed Journal]

The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. 2021 ;The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. ;ISSN: 0305-1048 ;EISSN: 1362-4962 ;DOI: 10.1093/nar/gkab335 ;PMID: 33978755

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  • Title:
    antiSMASH 6.0: improving cluster detection and comparison capabilities
  • Author: Blin, Kai ; Shaw, Simon ; Kloosterman, Alexander M ; Charlop-Powers, Zach ; van Wezel, Gilles P ; Medema, Marnix H ; Weber, Tilmann
  • Subjects: Web Server Issue
  • Is Part Of: Nucleic acids research, 2021-07, Vol.49 (W1), p.W29-W35
  • Description: 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. Graphical Abstract Graphical Abstract 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.
  • Publisher: England: Oxford University Press
  • Language: English
  • Identifier: ISSN: 0305-1048
    EISSN: 1362-4962
    DOI: 10.1093/nar/gkab335
    PMID: 33978755
  • Source: Oxford Journals Open Access Collection
    GFMER Free Medical Journals
    PubMed Central
    DOAJ Directory of Open Access Journals
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