ArticleAntimicrobial agents and chemotherapy2004
Prediction of mechanisms of action of antibacterial compounds by gene expression profiling.
Article in Antimicrobial agents and chemotherapy, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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Who cites it
69 citing papers in PubMed.
- Construction of a novel reporter strain indicating inhibition of cell wall biosynthesis.Applied microbiology and biotechnology · 2026Article
- An Update of Fungal Endophyte Diversity and Strategies for Augmenting Therapeutic Potential of their Potent Metabolites: Recent Advancement.Applied biochemistry and biotechnology · 2025Review
- Localization and Single Molecule Dynamics ofCells · 2025Article
- Perturbation-specific transcriptional mapping for unbiased target elucidation of antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- TheJournal of bacteriology · 2024Article
- Integrated genomics and chemical biology herald an era of sophisticated antibacterial discovery, from defining essential genes to target elucidation.Cell chemical biology · 2022Review
- Stingray Venom Proteins: Mechanisms of Action Revealed Using a Novel Network Pharmacology Approach.Marine drugs · 2021Article
- Core Antibiotic-Induced Transcriptional Signatures Reflect Susceptibility to All Members of an Antibiotic Class.Antimicrobial agents and chemotherapy · 2021Article
- Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach.PLoS computational biology · 2021Article
- Simultaneous elucidation of antibiotic mechanism of action and potency with high-throughput Fourier-transform infrared (FTIR) spectroscopy and machine learning.Applied microbiology and biotechnology · 2021Article
- Not Just Transporters: Alternative Functions of ABC Transporters inMicroorganisms · 2021Review
- Chemotranscriptomic Profiling Defines Drug-Specific Signatures of the Glycopeptide Antibiotics Dalbavancin, Vancomycin and Chlorobiphenyl-Vancomycin in a VanB-Type-Resistant Streptomycete.Frontiers in microbiology · 2021Article
- Entropy of a bacterial stress response is a generalizable predictor for fitness and antibiotic sensitivity.Nature communications · 2020Article
- Article
- Mechanism-of-Action Classification of Antibiotics by Global Transcriptome Profiling.Antimicrobial agents and chemotherapy · 2020Article
- A How-To Guide for Mode of Action Analysis of Antimicrobial Peptides.Frontiers in cellular and infection microbiology · 2020Review
- Antibiotic Discovery: Where Have We Come from, Where Do We Go?Antibiotics (Basel, Switzerland) · 2019Review
- Emerging Approaches to Tuberculosis Drug Development: At Home in the Metabolome.Trends in pharmacological sciences · 2017Review
- Comparative mass spectrometry-based metabolomics strategies for the investigation of microbial secondary metabolites.Natural product reports · 2017Review
- Combined Systems Approaches Reveal a Multistage Mode of Action of a Marine Antimicrobial Peptide against Pathogenic Escherichia coli and Its Protective Effect against Bacterial Peritonitis and Endotoxemia.Antimicrobial agents and chemotherapy · 2017Article
9 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
Abstract
We have generated a database of expression profiles carrying the transcriptional responses of the model organism Bacillus subtilis following treatment with 37 well-characterized antibacterial compounds of different classes. The database was used to build a predictor for the assignment of the mechanisms of action (MoAs) of antibacterial compounds by the use of support vector machines. This predictor was able to correctly classify the MoA class for most compounds tested. Furthermore, we provide evidence that the in vivo MoA of hexachlorophene does not match the MoA predicted from in vitro data, a situation frequently faced in drug discovery. A database of this kind may facilitate the prioritization of novel antibacterial entities in drug discovery programs. Potential applications and limitations are discussed.
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