Evidence map›Paper›PMID 25689534›Full record

ReviewFuture microbiology2015

The future for early-stage tuberculosis drug discovery.

Edison S Zuniga, Julie Early, Tanya Parish

Abstract readReview
In one paragraph

Review in Future microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
  2. Article
  3. Can We Exploit Inflammasomes for Host-Directed Therapy in the Fight againstInternational journal of molecular sciences · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Pathway Driven Target Selection inFrontiers in cellular and infection microbiology · 2022
    Article
  10. Antimicrobial agents and chemotherapy · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. The Immune Escape Mechanisms ofInternational journal of molecular sciences · 2019
    Review
  19. Review
  20. Design, synthesis, andMedChemComm · 2019
    Article
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

3 authors.

Edison S ZunigaTB Discovery Research, Infectious Disease Research Institute, Seattle, WA 98102, USA.
Julie Early
Tanya Parish

Funding

Chemical probes of vulnerable pathways in antibiotic-resistant pathogensR01AI099188 · NIAID · ACCESS TO ADVANCED HEALTH INSTITUTE · PI PARISH, TANYA · 2012 to 2016
$3.7M
NIAID NIH HHS R01 AI099188NIAID NIH HHS R01AI099188
6 · The paper itself

Abstract

There is an urgent need for new and better drugs to treat tuberculosis due to lengthy and complex treatment regimens and a rising problem of drug resistance. Drug discovery efforts have increased over the past few years, with a larger focus on modern high-throughput screening technologies. A combination of target-based approaches, with the traditional empirical means of drug identification, has been complemented by the use of target-based phenotypic screens only recently made possibly with newer genetic tools. Using these approaches, a number of promising compound series have been discovered. However, significant problems remain in developing these into drugs. This review highlights recent advances in TB drug discovery, including an overview of screening campaigns, lessons learned and future directions.

Indexed as

Drug DiscoveryAntitubercular AgentsDrug DesignDrug Evaluation, PreclinicalHumansMycobacterium tuberculosisTuberculosisAntitubercular Agentsdrug targetessential geneshigh-throughput screeningMycobacterium tuberculosistuberculosis drug discovery

Identifiers

PMID25689534
PMCPMC4353566

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.