The DOI matches its Crossref record.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Maleckis, M., Wibowo, M., Williams, S. E., Gotfredsen, C. H., Sigrist, R., Souza, L. D. O., Cowled, M. S., Charusanti, P., Gren, T., Saha, S., et al. (2024) · ACS Chemical Biology · doi:10.1021/acschembio.4c00121 · Cited by 9
Self-citationUnravelling the Functional Diversity of Type III Polyketide Synthases in Fungi
Sokolova, N., Denisov, S. S., Hackl, T., & Haslinger, K. (2025) · Angewandte Chemie International Edition · doi:10.1002/anie.202514786 · Cited by 9
Sliti, A., Kim, R.-H., Lee, D., & Shin, J.-H. (2025) · Microbial Pathogenesis · doi:10.1016/j.micpath.2025.107405 · Cited by 5
Iacovelli, R., He, S., Sokolova, N., Lokhorst, I., Borg, M., Fodran, P., & Haslinger, K. (2024) · Journal of Natural Products · doi:10.1021/acs.jnatprod.4c00619 · Cited by 5
Bacteriocin gene-mediated ecological adaptation of Bifidobacterium breve in the adult human gut
Wang, J., Qian, X., Li, Q., Jin, Z., Liu, N., Zhao, J., Chen, W., Wang, S., & Tian, P. (2026) · Cell Genomics · doi:10.1016/j.xgen.2025.101106 · Cited by 5
Lu, W., Zha, B., Lyu, J., LingHu, C., Chen, J., Deng, S., Zhang, X., Li, L., & Wang, G. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1500886 · Cited by 4
Kawano, T., Shiraishi, T., Kuzuyama, T., & Umemura, M. (2026) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1013181 · Cited by 3
Dey, R., Valle, D. O., Chakraborty, A., Mayer, K. A., Uppala, J. K., Chakraborty, A., Mirza, S., Skwor, T., Forst, S., & Dey, M. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1560663 · Cited by 1
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
