Evidence map›Paper›PMID 23910985›Full record

ReviewBioorganic & medicinal chemistry letters2013

A medicinal chemists' guide to the unique difficulties of lead optimization for tuberculosis.

Véronique Dartois, Clifton E Barry

Abstract readReview
In one paragraph

Review in Bioorganic & medicinal chemistry letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Research in the Field of Drug Design and Development.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  6. Review
  7. Article
  8. Machine Learning Models forMolecular pharmaceutics · 2022
    Article
  9. Review
  10. Random Forest Model Prediction of Compound Oral Exposure in the Mouse.ACS pharmacology & translational science · 2021
    Article
  11. Review
  12. Tuberculosis Drug Discovery: A Decade of Hit Assessment for Defined Targets.Frontiers in cellular and infection microbiology · 2021
    Review
  13. Article
  14. Review
  15. Review
  16. Extreme Drug Tolerance ofFrontiers in microbiology · 2020
    Article
  17. Review
  18. Antimicrobial agents and chemotherapy · 2019
    Article
  19. Review
  20. Microbiology spectrum · 2019
    Review

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Véronique DartoisPublic Health Research Institute, New Jersey Medical School, Newark, NJ, United States.
Clifton E Barry

Funding

Development Of New Chemotherapeutics For TuberculosisZIAAI000693 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BARRY, CLIFTON · 2009 to 2025
$20.1M
Experimental Animal Models of TB: Chemotherapeutics and ImagingZIAAI000734 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BARRY, CLIFTON · 2009 to 2025
$19.6M
Target based discovery of next generation pyrazinamideR01AI106398 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI DICK, THOMAS · 2013 to 2022
$7.1M
Intramural NIH HHS ZIA AI000693NIAID NIH HHS R01 AI106398
6 · The paper itself

Abstract

Tuberculosis is a bacterial disease that predominantly affects the lungs and results in extensive tissue pathology. This pathology contributes to the complexity of drug development as it presents discrete microenvironments within which the bacterium resides, often under conditions where replication is limited and intrinsic drug susceptibility is low. This consolidated pathology also results in impaired vascularization that limits access of potential lead molecules to the site of infection. Translating these considerations into a target-product profile to guide lead optimization programs involves implementing unique in vitro and in vivo assays to maximize the likelihood of developing clinically meaningful candidates.

Indexed as

AnimalsAntitubercular AgentsDrug DiscoveryHumansLungMycobacterium tuberculosisTuberculosisAntitubercular AgentsDrug discoveryTuberculosis

Identifiers

PMID23910985
PMCPMC3789655

What OpenQuestion holds

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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.