AntiSMASH 7.0

new and improved predictions for detection, regulation, chemical structures and visualisation

authored by

Kai Blin, Simon Shaw, Hannah E. Augustijn, Zachary L. Reitz, Friederike Biermann, Mohammad Alanjary, Artem Fetter, Barbara R. Terlouw, William W. Metcalf, Eric J.N. Helfrich, Gilles P. Van Wezel, Marnix H. Medema, Tilmann Weber

Abstract

Microorganisms produce small bioactive compounds as part of their secondary or specialised metabolism. Often, such metabolites have antimicrobial, anticancer, antifungal, antiviral or other bio-Activities and thus play an important role for applications in medicine and agriculture. In the past decade, genome mining has become a widely-used method to explore, access, and analyse the available biodiversity of these compounds. 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 licence. It is currently the most widely used tool for detecting and characterising biosynthetic gene clusters (BGCs) in archaea, bacteria, and fungi. Here, we present the updated version 7 of antiSMASH. antiSMASH 7 increases the number of supported cluster types from 71 to 81, as well as containing improvements in the areas of chemical structure prediction, enzymatic assembly-line visualisation and gene cluster regulation.

Organisation(s)

Institute of Technical Chemistry

External Organisation(s)

Novo Nordisk Foundation Center for Biosustainability
Leiden University
Wageningen University and Research
Goethe University Frankfurt
LOEWE Center for Translational Biodiversity Genomics
University of Illinois at Urbana-Champaign

Type

Article

Journal

Nucleic acids research

Volume

51

Pages

W46-W50

ISSN

0305-1048

Publication date

05.07.2023

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Genetics

Electronic version(s)

https://doi.org/10.1093/nar/gkad344 (Access: Open)