antiSMASH 6.0: improving cluster detection and comparison capabilities

Author:

Blin Kai1ORCID,Shaw Simon1,Kloosterman Alexander M2,Charlop-Powers Zach3ORCID,van Wezel Gilles P24ORCID,Medema Marnix H25ORCID,Weber Tilmann1ORCID

Affiliation:

1. The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark

2. Institute of Biology, Leiden University, Leiden, The Netherlands

3. Bioinformatics, Lodo Therapeutics, New York, USA

4. Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands

5. Bioinformatics Group, Wageningen University, Wageningen, The Netherlands

Abstract

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.

Funder

Novo Nordisk Foundation

Danish National Research Foundation

ERC

Netherlands Organization for Scientific Research

Publisher

Oxford University Press (OUP)

Subject

Genetics

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