Nucleic Acids Research· 2019Q1
antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline
- 3,133citations
- Q1SCImago
- 2019year
Short summary
The antiSMASH 5.0 pipeline, a widely used tool for identifying microbial biosynthetic gene clusters, has been significantly updated with new detection rules for diverse secondary metabolites and improved analysis speed.
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Key points
- antiSMASH 5.0 adds detection rules for acyl-amino acids, β-lactones, fungal RiPPs, RaS-RiPPs, polybrominated diphenyl ethers, C-nucleosides, PPY-like ketones, and lipolanthines.
- Improved prediction detail for type II polyketide synthase gene clusters.
- Analysis runtime is significantly faster, enabling bacterial genome annotations within minutes.
- New JSON output format facilitates programmatic processing of results by downstream tools.
AI-generated from the title and abstract; the full text is not read.
Abstract
Secondary metabolites produced by bacteria and fungi are an important source of antimicrobials and other bioactive compounds. In recent years, genome mining has seen broad applications in identifying and characterizing new compounds as well as in metabolic engineering. Since 2011, the 'antibiotics and secondary metabolite analysis shell-antiSMASH' (https://antismash.secondarymetabolites.org) has assisted researchers in this, both as a web server and a standalone tool. It has established itself as the most widely used tool for identifying and analysing biosynthetic gene clusters (BGCs) in bacterial and fungal genome sequences. Here, we present an entirely redesigned and extended version 5 of antiSMASH. antiSMASH 5 adds detection rules for clusters encoding the biosynthesis of acyl-amino acids, β-lactones, fungal RiPPs, RaS-RiPPs, polybrominated diphenyl ethers, C-nucleosides, PPY-like ketones and lipolanthines. For type II polyketide synthase-encoding gene clusters, antiSMASH 5 now offers more detailed predictions. The HTML output visualization has been redesigned to improve the navigation and visual representation of annotations. We have again improved the runtime of analysis steps, making it possible to deliver comprehensive annotations for bacterial genomes within a few minutes. A new output file in the standard JavaScript object notation (JSON) format is aimed at downstream tools that process antiSMASH results programmatically.
The authors' abstract, as published at the source. Nucleic Acids Research, 2019 · DOI ↗
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Field: Pharmacology (Medicine)
PharmacologyMedicine