ArticleProceedings of the National Academy of Sciences of the United States of America2020
Morphological profiling of tubercle bacilli identifies drug pathways of action.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Antimicrobial resistance crisis: could artificial intelligence be the solution?Military Medical Research · 2024Pooled it
- Deep learning extracts MoA-specific signatures from high-throughput images of chemically and genetically perturbedScience advances · 2026Article
- Growth arrest of Mycobacterium tuberculosis in acidic environments enhances their survival of antibiotic treatment.PLoS biology · 2026Article
- Enzyme-DNA Interactions Affect the Catalytic Inhibition of Mycobacterial Gyrases by Antibacterial Drugs.ACS infectious diseases · 2026Article
- Article
- Integration of multi-modal measurements identifies critical mechanisms of tuberculosis drug action.Cell systems · 2025Article
- Increased proportion of growth-arrested bacilli in acidic pH adaptation promotesbioRxiv : the preprint server for biology · 2025Article
- Deep learning-driven bacterial cytological profiling to determine antimicrobial mechanisms inProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Advancing antibiotic discovery with bacterial cytological profiling: a high-throughput solution to antimicrobial resistance.Frontiers in microbiology · 2025Review
- Fluorogenic Probes of the Mycobacterial Membrane as Reporters of Antibiotic Action.Journal of the American Chemical Society · 2024Article
- Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium.Nature communications · 2024Article
- Transcriptomic responses to antibiotic exposure inAntimicrobial agents and chemotherapy · 2024Article
- Aerosolization of viableProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Chemical genetic approaches for the discovery of bacterial cell wall inhibitors.RSC medicinal chemistry · 2023Review
- High-throughput functional genomics: A (myco)bacterial perspective.Molecular microbiology · 2023Review
- Novel Synergies and Isolate Specificities in the Drug Interaction Landscape of Mycobacterium abscessus.Antimicrobial agents and chemotherapy · 2023Article
- Molecular Mechanisms of MmpL3 Function and Inhibition.Microbial drug resistance (Larchmont, N.Y.) · 2023Review
- Types and functions of heterogeneity in mycobacteria.Nature reviews. Microbiology · 2022Review
- Identification of cell wall synthesis inhibitors active against Mycobacterium tuberculosis by competitive activity-based protein profiling.Cell chemical biology · 2022Article
- Integrated genomics and chemical biology herald an era of sophisticated antibacterial discovery, from defining essential genes to target elucidation.Cell chemical biology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
Morphological profiling is a method to classify target pathways of antibacterials based on how bacteria respond to treatment through changes to cellular shape and spatial organization. Here we utilized the cell-to-cell variation in morphological features of
Indexed as
Identifiers
What OpenQuestion holds
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.