AntiSMASH 6.0: Improving cluster detection and comparison capabilities
| Autor: | Gilles P. van Wezel, Tilmann Weber, Simon Shaw, Kai Blin, Alexander M. Kloosterman, Zach Charlop-Powers, Marnix H. Medema |
|---|---|
| Přispěvatelé: | Microbial Ecology (ME) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Web server
AcademicSubjects/SCI00010 Bioinformatics Secondary Metabolism Computational biology Biology computer.software_genre Genome Plan_S-Compliant-OA 03 medical and health sciences Bioinformatica Genetics Cluster (physics) Life Science 030304 developmental biology Biological Products 0303 health sciences Modular structure Bacteria 030306 microbiology Fungi Biosynthetic Pathways Genome Microbial Workflow international Web Server Issue Genome mining Microbial genome computer Software |
| Zdroj: | Nucleic Acids Research, 49(W1), W29-W35. Oxford University Press Nucleic acids research 49 (2021) W1 Nucleic Acids Research Nucleic acids research, 49(W1), W29-W35 Blin, K, Shaw, S, Kloosterman, A M, Charlop-Powers, Z, van Wezel, G P, Medema, M H & Weber, T 2021, ' antiSMASH 6.0: improving cluster detection and comparison capabilities ', Nucleic Acids Research . https://doi.org/10.1093/nar/gkab335 Nucleic Acids Research. Oxford University Press ({OUP}) |
| ISSN: | 0305-1048 |
| DOI: | 10.1093/nar/gkab335 |
| Popis: | 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. Graphical Abstract Graphical AbstractHere, we present version 6 of the secondary/specialized metabolite genome mining platform antiSMASH with improved detection capabilities, a new cluster compare feature and many further improvements. |
| Databáze: | OpenAIRE |
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