Evidence map›Paper›PMID 33062159›Full record

ArticleACS medicinal chemistry letters2020

The Resurrection of Phenotypic Drug Discovery.

Wayne E Childers, Khaled M Elokely, Magid Abou-Gharbia

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Protein Structure Inspired Drug Discovery.bioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Phenotype-based drug screening: AnFrontiers in molecular biosciences · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Phenotypic Screening inPharmaceuticals (Basel, Switzerland) · 2020
    Review
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.

Wayne E ChildersMoulder Center for Drug Discovery Research, Temple University School of Pharmacy, 3307 N. Broad Street, Philadelphia, Pennsylvania 19140, United States.
Khaled M ElokelyMoulder Center for Drug Discovery Research, Temple University School of Pharmacy, 3307 N. Broad Street, Philadelphia, Pennsylvania 19140, United States.
Magid Abou-GharbiaMoulder Center for Drug Discovery Research, Temple University School of Pharmacy, 3307 N. Broad Street, Philadelphia, Pennsylvania 19140, United States.

Funding

GLT-1 Enhancers as Drug Candidates for Treating Cocaine AddictionR01DA037270 · NIDA · TEMPLE UNIV OF THE COMMONWEALTH · PI ABOU-GHARBIA, MAGID, ROTHSTEIN, JEFFREY D · 2014 to 2018
$2.0M
NIDA NIH HHS R01 DA037270
6 · The paper itself

Abstract

Prior to genetic mapping, the majority of drug discovery efforts involved phenotypic screening, wherein compounds were screened in either in vitro or in vivo models thought to mimic the disease state of interest. While never completely abandoning phenotypic approaches, the labor intensive nature of such tests encouraged the pharmaceutical industry to move away from them in favor of target-based drug discovery, which facilitated throughput and allowed for the efficient screening of large numbers of compounds. However, a consequence of reliance on target-based screening was an increased number of failures in clinical trials due to poor correlation between novel mechanistic targets and the actual disease state. As a result, the field has seen a recent resurrection in phenotypic drug discovery approaches. In this work, we highlight some recent phenotypic projects from our industrial past and in our current academic drug discovery environment that have provided encouraging results.

Identifiers

PMID33062159
PMCPMC7549108

What OpenQuestion holds

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Registered trials

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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.