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.

Keywords

BiologyCluster (spacecraft)Computational biologyComputer scienceOperating system

Affiliated Institutions

Related Publications

Publication Info

Year
2021
Type
article
Volume
49
Issue
W1
Pages
W29-W35
Citations
2470
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

2470
OpenAlex

Cite This

Kai Blin, Simon J. Shaw, Alexander Kloosterman et al. (2021). antiSMASH 6.0: improving cluster detection and comparison capabilities. Nucleic Acids Research , 49 (W1) , W29-W35. https://doi.org/10.1093/nar/gkab335

Identifiers

DOI
10.1093/nar/gkab335