ArticleAntimicrobial agents and chemotherapy2020
Mechanism-of-Action Classification of Antibiotics by Global Transcriptome Profiling.
Article in Antimicrobial agents and chemotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
55 citing papers in PubMed, 116 citations in OpenAlex.
- Probiotics mitigate non-antibiotic drug-induced dysbiosis via protein homology-driven competitive binding.Nature communications · 2026Article
- A drug-microbiome-drug interaction impacts co-prescribed medications for Parkinson's disease.Nature microbiology · 2026Article
- Proteostasis-targeted antibacterial strategies.Journal of microbiology (Seoul, Korea) · 2026Review
- Heterologous expression and functional characterization of novel microcin B17 congeners from environmental Pseudomonas isolates.Applied microbiology and biotechnology · 2026Article
- Ai derivation and exploration of antibiotic class spaces.Journal of cheminformatics · 2026Article
- Integrated omics reveal a unique antibacterial mechanism of action for the small molecule HSI#6.Current research in microbial sciences · 2026Article
- Searching for the perfect match: can non-antibiotic antimicrobials improve bacteriophage performance?Frontiers in cellular and infection microbiology · 2026Review
- The transcriptomic response of Staphylococcus equorum KS1030 to Lincomycin stress reveals transporters associated with horizontal gene transfer.Scientific reports · 2025Article
- Article
- Molecular response of Pseudomonas aeruginosa to rosemary essential oil and chlorogenic acid at subinhibitory concentration revealed by comparative transcriptomic approach.Scientific reports · 2025Article
- Chemical Composition of Toona sinensis Extract and its Antibacterial, Antibiofilm, and Antioxidant Activities, with Antibacterial Mechanisms against Listeria monocytogenes ATCC 19112.Plant foods for human nutrition (Dordrecht, Netherlands) · 2025Article
- Metabolic engineering approaches for the biosynthesis of antibiotics.Microbial cell factories · 2025Review
- Bioactivity Profiling of Chemical Mixtures for Hazard Characterization.Environmental science & technology · 2025Article
- HoloMoA: a holography and deep learning tool for the identification of antimicrobial mechanisms of action and the detection of novel MoA.Frontiers in microbiology · 2025Article
- Advancing antibiotic discovery with bacterial cytological profiling: a high-throughput solution to antimicrobial resistance.Frontiers in microbiology · 2025Review
- Boronic acid inhibitors of penicillin-binding protein 1b: serine and lysine labelling agents.Journal of enzyme inhibition and medicinal chemistry · 2024Article
- Perturbation-specific transcriptional mapping for unbiased target elucidation of antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Screening of Antagonistic Bacteria against Three Aquatic Pathogens and Characterization of Lipopeptides inJournal of microbiology and biotechnology · 2024Article
- A Review of Medicinal Plants Used in the Management of Microbial Infections in Angola.Plants (Basel, Switzerland) · 2024Review
- Optimizing Archaeal Lipid Biosynthesis inACS synthetic biology · 2024Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
Antimicrobial resistance (AMR) is an ever-growing public health problem worldwide. The low rate of antibiotic discovery coupled with the rapid spread of drug-resistant bacterial pathogens is causing a global health crisis. To facilitate the drug discovery processes, we present a large-scale study of reference antibiotic challenge bacterial transcriptome profiles, which included 37 antibiotics across 6 mechanisms of actions (MOAs) and provide an economical approach to aid in antimicrobial dereplication in the discovery process. We demonstrate that classical MOAs can be sorted based upon the magnitude of gene expression profiles despite some overlap in the secondary effects of antibiotic exposures across MOAs. Additionally, using gene subsets, we were able to subdivide broad MOA classes into subMOAs. Furthermore, we provide a biomarker gene set that can be used to classify most antimicrobial challenges according to their canonical MOA. We also demonstrate the ability of this rapid MOA diagnostic tool to predict and classify the expression profiles of pure compounds and crude extracts to their expression profile-associated MOA class.
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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.