AntiSMASH 6.0: Improving cluster detection and comparison capabilities

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

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgaveArtikelWetenschappelijkpeer review

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Samenvatting

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.

Originele taal-2Engels
Pagina's (van-tot)W29-W35
TijdschriftNucleic Acids Research
Volume49
Nummer van het tijdschriftW1
DOI's
StatusGepubliceerd - 02 jul 2021

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