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AntiSMASH 6.0 : Improving cluster detection and comparison capabilities

Authors :
Blin, Kai
Shaw, Simon
Kloosterman, Alexander M.
Charlop-Powers, Zach
Van Wezel, Gilles P.
Medema, Marnix H.
Weber, Tilmann
Blin, Kai
Shaw, Simon
Kloosterman, Alexander M.
Charlop-Powers, Zach
Van Wezel, Gilles P.
Medema, Marnix H.
Weber, Tilmann
Source :
ISSN: 0305-1048
Publication Year :
2021

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.

Details

Database :
OAIster
Journal :
ISSN: 0305-1048
Notes :
application/pdf, Nucleic acids research 49 (2021) W1, ISSN: 0305-1048, ISSN: 0305-1048, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1262728065
Document Type :
Electronic Resource