ArticleNucleic acids research2017
The Antibiotic Resistant Target Seeker (ARTS), an exploration engine for antibiotic cluster prioritization and novel drug target discovery.
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 104 papers, 1 of them a synthesis that pooled it.
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Who cites it
104 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A review of bacterial disease outbreaks in rainbow trout (Oncorhynchus mykiss) reported from 2010 to 2022.Journal of fish diseases · 2025Pooled it
- Self-Resistance as a Functional Beacon: Target-Directed Microbial Genome Mining from Classical Discovery to Automated Pipelines.Microorganisms · 2026Review
- Resistance-CONKAT-seq Guided Discovery of a ClpP Active Natural Product from a Soil Metagenome.ACS chemical biology · 2026Article
- Mode of action guided metagenomic natural product discovery reveals convergent evolution of a ClpP-targeting motif.Nature communications · 2026Article
- ARTS-DB 2.0: an expanded database for target-directed genome mining across bacteria and fungi.Database : the journal of biological databases and curation · 2026Article
- Resistance Gene-Guided Discovery of a Fungal Spirotetramate as an Acetolactate Synthase Inhibitor.Journal of the American Chemical Society · 2025Article
- Genomic analysis of Arthrobacter endolithicus sp. nov. and Arthrobacter antibioticus sp. nov., two novel actinobacteria from Antarctica with potential application in aquaculture.Antonie van Leeuwenhoek · 2025Article
- The Role of Nucleotide Sequencing in Natural Product Drug Discovery.Journal of natural products · 2025Review
- Artificial intelligence in Combating Antimicrobial Resistance.Archives of Razi Institute · 2025Review
- Microbial secondary metabolites: advancements to accelerate discovery towards application.Nature reviews. Microbiology · 2025Review
- Context matters: assessing the impacts of genomic background and ecology on microbial biosynthetic gene cluster evolution.mSystems · 2025Review
- Fighting Antimicrobial Resistance: Innovative Drugs in Antibacterial Research.Angewandte Chemie (International ed. in English) · 2025Review
- Diosgenin producingComputational and structural biotechnology journal · 2025Article
- Large genomic, functional, and phenotypical diversity ofFEMS microbes · 2025Article
- Endophytic Streptomyces: an underexplored source with potential for novel natural drug discovery and development.Archives of microbiology · 2024Review
- Chloramphenicol Interferes with 50S Ribosomal Subunit Maturation via Direct and Indirect Mechanisms.Biomolecules · 2024Article
- 16S rRNA phylogeny and clustering is not a reliable proxy for genome-based taxonomy inMicrobial genomics · 2024Article
- A treasure trove of 1034 actinomycete genomes.Nucleic acids research · 2024Article
- Synteruptor: mining genomic islands for non-classical specialized metabolite gene clusters.NAR genomics and bioinformatics · 2024Article
- Landscape of global urban environmental resistome and its association with local socioeconomic and medical status.Science China. Life sciences · 2024Article
44 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rise of multi-drug resistant pathogens and the decline in number of potential new antibiotics in development there is a fervent need to reinvigorate the natural products discovery pipeline. Most antibiotics are derived from secondary metabolites produced by microorganisms and plants. To avoid suicide, an antibiotic producer harbors resistance genes often found within the same biosynthetic gene cluster (BGC) responsible for manufacturing the antibiotic. Existing mining tools are excellent at detecting BGCs or resistant genes in general, but provide little help in prioritizing and identifying gene clusters for compounds active against specific and novel targets. Here we introduce the 'Antibiotic Resistant Target Seeker' (ARTS) available at https://arts.ziemertlab.com. ARTS allows for specific and efficient genome mining for antibiotics with interesting and novel targets. The aim of this web server is to automate the screening of large amounts of sequence data and to focus on the most promising strains that produce antibiotics with new modes of action. ARTS integrates target directed genome mining methods, antibiotic gene cluster predictions and 'essential gene screening' to provide an interactive page for rapid identification of known and putative targets in BGCs.
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Registered trials
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