Nucleic Acids Research· 2023Q1
antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation
- 2,273citations
- Q1SCImago
- 2023year
Short summary
antiSMASH 7.0 significantly improves microbial genome mining by increasing supported biosynthetic gene cluster (BGC) types from 71 to 81, enhancing chemical structure prediction, and refining visualization of enzymatic assembly lines and gene cluster regulation.
AI-generated from the title and abstract; the full text is not read.
Key points
- antiSMASH 7.0 now supports 81 types of biosynthetic gene clusters (BGCs), an increase from 71.
- The update includes improved algorithms for predicting the chemical structures of secondary metabolites.
- New features enhance the visualization of enzymatic assembly-line pathways.
- Gene cluster regulation prediction has also been refined in this version.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Nucleic Acids Research, 2023 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Computational Theory and Mathematics
Computational Theory and MathematicsComputer Science