ArticleNucleic acids research2020
ARTS 2.0: feature updates and expansion of the Antibiotic Resistant Target Seeker for comparative genome mining.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 1 of them a synthesis that pooled it.
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Who cites it
119 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Antimicrobial resistance crisis: could artificial intelligence be the solution?Military Medical Research · 2024Pooled it
- Antibiotic-producing microorganisms: taxonomic diversity, screening strategies, and emerging and underexploited antibacterial targets.Archives of microbiology · 2026Review
- Accelerating natural product discovery, characterization and engineering by biofoundries.Natural product reports · 2026Review
- Total Synthesis and Structural Revision of Rhabdobranin Reveals a Cryptic Gram-Negative Antibiotic.Journal of the American Chemical Society · 2026Article
- Genome mining reveals an architecturally expanded pyoluteorin-associated biosynthetic gene cluster and a divergent flavin-dependent halogenase-like sequence in deep-sea Pseudomonas Aeruginosa from the Gulf of Guinea.Antonie van Leeuwenhoek · 2026Article
- Article
- 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
- Harnessing artificial intelligence for antimicrobial discovery and optimization.Current opinion in microbiology · 2026Review
- Discovery of the Phosphonate Flavophos Produced byJournal of the American Chemical Society · 2026Article
- Green genes from blue greens: challenges and solutions to unlocking the potential of cyanobacteria in drug discovery.Natural product reports · 2026Review
- Refining the Study of Endophytic Fungi: Best Practices in Antibacterial Research.Current microbiology · 2026Review
- Pseudotetraivprolides from Pseudomonas entomophila Provide Insights into the Biosynthesis of Detoxin/Rimosamide-Like Anti-Antibiotics.Angewandte Chemie (International ed. in English) · 2026Article
- Discovery of the Phosphonate Flavophos Produced bybioRxiv : the preprint server for biology · 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
- Unexplored biosynthetic gene clusters in bacteria isolated from Brazilian stingless bee honey with activity against multidrug-resistant pathogens.Current research in microbial sciences · 2026Article
- Genome mining strategies to unlock the metabolic potential ofFrontiers in microbiology · 2026Article
- Integrated multi-omics and genome mining strategies for activating cryptic polyketide biosynthetic gene clusters inFrontiers in microbiology · 2026Review
- Gems From the Caves: Genomic Insights Into the Biosynthetic Potential of Antimicrobial-Producing Bacteria Associated With Tropical Cave-Dwelling Sponges.Environmental microbiology · 2026Article
- SeqForge: a scalable platform for alignment-based searches, motif detection, and sequence curation across meta/genomic datasets.BMC bioinformatics · 2025Article
59 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multi-drug resistant pathogens have become a major threat to human health and new antibiotics are urgently needed. Most antibiotics are derived from secondary metabolites produced by bacteria. In order to avoid suicide, these bacteria usually encode resistance genes, in some cases within the biosynthetic gene cluster (BGC) of the respective antibiotic compound. Modern genome mining tools enable researchers to computationally detect and predict BGCs that encode the biosynthesis of secondary metabolites. The major challenge now is the prioritization of the most promising BGCs encoding antibiotics with novel modes of action. A recently developed target-directed genome mining approach allows researchers to predict the mode of action of the encoded compound of an uncharacterized BGC based on the presence of resistant target genes. In 2017, we introduced the 'Antibiotic Resistant Target Seeker' (ARTS). ARTS allows for specific and efficient genome mining for antibiotics with interesting and novel targets by rapidly linking housekeeping and known resistance genes to BGC proximity, duplication and horizontal gene transfer (HGT) events. Here, we present ARTS 2.0 available at http://arts.ziemertlab.com. ARTS 2.0 now includes options for automated target directed genome mining in all bacterial taxa as well as metagenomic data. Furthermore, it enables comparison of similar BGCs from different genomes and their putative resistance genes.
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