Evidence map›Paper›PMID 39913203›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Deep learning-driven bacterial cytological profiling to determine antimicrobial mechanisms in

Diana Quach, Marc Sharp, Sara Ahmed, Lauren Ames, Amala Bhagwat, Aditi Deshpande, Tanya Parish, Joe Pogliano, Joseph Sugie

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Thienopyrimidine amide analogs target MmpL3 inAntimicrobial agents and chemotherapy · 2025
    Article
  4. Analysis of essential genes inJournal of bacteriology · 2025
    Article
  5. Review
  6. Article
  7. Analysis of Essential Genes inbioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Diana QuachLinnaeus Bioscience, Inc., San Diego, CA 92109.
Marc SharpLinnaeus Bioscience, Inc., San Diego, CA 92109.ORCID 0009-0009-3383-5577
Sara AhmedCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA 98109.
Lauren AmesCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA 98109.
Amala BhagwatCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA 98109.
Aditi DeshpandeCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA 98109.
Tanya ParishCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA 98109.ORCID 0000-0001-7507-0423
Joe PoglianoDepartment of Molecular Biology, University of California, San Diego, CA 92093.
Joseph SugieLinnaeus Bioscience, Inc., San Diego, CA 92109.ORCID 0000-0003-2911-1807

Funding

Bill and Melinda Gates Foundation (GF) INV-040479
6 · The paper itself

Abstract

Tuberculosis (TB), caused by

Indexed as

Antitubercular AgentsDeep LearningMycobacterium tuberculosisHumansMicrobial Sensitivity TestsNeural Networks, ComputerTuberculosisAntitubercular Agentsantimicrobialsconvolutional neural networksdrug discoverymicrobiologyMycobacterium tuberculosis

Identifiers

PMID39913203
PMCPMC11831157

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.