AntiSMASH 7.0: New and improved predictions for detection, regulation, chemical structures and visualisation

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*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

470 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)W46-W50
JournalNucleic acids research
Volume51
Issue numberW1
DOIs
Publication statusPublished - 5 Jul 2023

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