The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
antiSMASH 6.0: improving cluster detection and comparison capabilities
Open accessAbstract
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.
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Cites
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antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline
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Self-citationSMART: recent updates, new developments and status in 2020
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Self-citationantiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters
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Self-citationantiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification
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Cited by
Blin, K., Shaw, S., Augustijn, H. E., Reitz, Z. L., Biermann, F., Alanjary, M., Fetter, A., Terlouw, B. R., Metcalf, W. W., Helfrich, E. J. N., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad344 · Cited by 2,290
Self-citationMIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters
Terlouw, B. R., Blin, K., Navarro-Muñoz, J. C., Avalon, N. E., Chevrette, M. G., Egbert, S., Lee, S., Meijer, D., Recchia, M. J. J., Reitz, Z. L., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkac1049 · Cited by 444
Self-citationZhang, D., Zhang, J., Kalimuthu, S., Liu, J., Song, Z.-M., He, B.-B., Cai, P., Zhong, Z., Feng, C., Neelakantan, P., et al. (2023) · Microbiome · doi:10.1186/s40168-023-01540-y · Cited by 72
“Biosynthetic gene clusters for each genome were annotated by antiSMASH 6.0 [21] with default parameters.”
InfluentialNguyen, D. T., Zhu, L., Gray, D. L., Woods, T. J., Padhi, C., Flatt, K. M., Mitchell, D. A., & van der Donk, W. A. (2024) · ACS Central Science · doi:10.1021/acscentsci.4c00088 · Cited by 51
Semantic design of functional de novo genes from a genomic language model
(2025) · doi:10.1038/s41586-025-09749-7 · Cited by 35
Metadata
- Authors
- Blin, K., Shaw, S., Kloosterman, A. M., Charlop-Powers, Z., van Wezel, G. P., Medema, M. H., & Weber, T.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-05-12
- Volume
- 49
- Issue
- W1
- Pages
- W29-W35
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W3161596995
- Cited by
- 2,562
- References
- 38
- FWCI
- 230.41
- Type
- journal article
- Language
- en
- Open access
- gold
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