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antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation
Open accessAbstract
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.
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Citations
Cited by
Harnessing the potential: Advances in cyanobacterial natural product research and biotechnology
Baunach, M., Guljamow, A., Miguel-Gordo, M., & Dittmann, E. (2024) · Natural Product Reports · doi:10.1039/d3np00045a · Cited by 66
Bioinformatic Analysis of Secondary Metabolite Biosynthetic Potential in Pathogenic Fusarium
Lin, C., Feng, X.-L., Liu, Y., Li, Z.-C., Li, X.-Z., & Qi, J. (2023) · Journal of Fungi · doi:10.3390/jof9080850 · Cited by 32
Chen, M., Dhakal, D., Eckhardt, C. W., Luesch, H., & Ding, Y. (2025) · Natural Product Reports · doi:10.1039/d5np00009b · Cited by 21
Gizachew, S., & Engidawork, E. (2024) · Genes · doi:10.3390/genes15111389 · Cited by 15
“To predict genes coding for different types of biosynthetic pathways involved in the production of secondary metabolites (SMs), antiSMASH 7.0 (Antibiotics and Secondary Metabolite Analysis Shell) was utilized (accessed on 10 August 2023) [30].”
InfluentialLi, W., Huang, B., Guo, M., Zeng, Z., Cai, T., Feng, L., Zhang, X., Guo, L., Jiang, X., Yin, Y., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115773 · Cited by 13
Metadata
- Authors
- 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., van Wezel, G. P., Medema, M. H., & Weber, T.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-05-04
- Volume
- 51
- Issue
- W1
- Pages
- W46-W50
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W4368358469
- Cited by
- 2,290
- References
- 0
- FWCI
- 294.65
- Type
- journal article
- Language
- en
- Open access
- gold
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- 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., van Wezel, G. P., Medema, M. H., & Weber, T. (2023). antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation. Nucleic Acids Research. https://doi.org/10.1093/nar/gkad344
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