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)

*Bijbehorende auteur voor dit werk

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgaveArtikelWetenschappelijkpeer review

1415 Citaten (Scopus)
62 Downloads (Pure)

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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