ArticleNucleic acids research2017
antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 669 papers.
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Who cites it
669 citing papers in PubMed, 1,212 citations in OpenAlex.
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- Refining the Study of Endophytic Fungi: Best Practices in Antibacterial Research.Current microbiology · 2026Review
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- Evaluation of Probiotic and Antimicrobial Properties of Patulin-DegradingFoods (Basel, Switzerland) · 2026Article
- The antiSMASH database version 5.Nucleic acids research · 2026Article
- High-Throughput Prediction of Protein-Protein Interactions Uncovers Hidden Molecular Networks in Biosynthetic Gene Clusters.Computational and structural biotechnology journal · 2026Article
- Article
- Psychromicrobium ferritrahens sp. nov., A Novel Actinobacterium Isolated from Decayed Wood in Shizong County, China.Current microbiology · 2025Article
609 more citing papers are in PubMed but not listed here.
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Authors and funding
18 authors at 10 institutions in 7 countries.
Funding
Abstract
Many antibiotics, chemotherapeutics, crop protection agents and food preservatives originate from molecules produced by bacteria, fungi or plants. In recent years, genome mining methodologies have been widely adopted to identify and characterize the biosynthetic gene clusters encoding the production of such compounds. Since 2011, the 'antibiotics and secondary metabolite analysis shell-antiSMASH' has assisted researchers in efficiently performing this, both as a web server and a standalone tool. Here, we present the thoroughly updated antiSMASH version 4, which adds several novel features, including prediction of gene cluster boundaries using the ClusterFinder method or the newly integrated CASSIS algorithm, improved substrate specificity prediction for non-ribosomal peptide synthetase adenylation domains based on the new SANDPUMA algorithm, improved predictions for terpene and ribosomally synthesized and post-translationally modified peptides cluster products, reporting of sequence similarity to proteins encoded in experimentally characterized gene clusters on a per-protein basis and a domain-level alignment tool for comparative analysis of trans-AT polyketide synthase assembly line architectures. Additionally, several usability features have been updated and improved. Together, these improvements make antiSMASH up-to-date with the latest developments in natural product research and will further facilitate computational genome mining for the discovery of novel bioactive molecules.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.