Evidence map›Paper›PMID 32715163›Full record

ReviewCurrent opinion in systems biology2017

Chemical genetics in drug discovery.

Elisabetta Cacace, George Kritikos, Athanasios Typas

Abstract readReview
In one paragraph

Review in Current opinion in systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Primed for Discovery.Biochemistry · 2024
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Unraveling the mechanisms of intrinsic drug resistance inFrontiers in cellular and infection microbiology · 2022
    Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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.

Elisabetta CacaceEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
George KritikosEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Athanasios TypasEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical-genetic approaches are based on measuring the cellular outcome of combining genetic and chemical perturbations in large-numbers in tandem. In these approaches the contribution of every gene to the fitness of an organism is measured upon exposure to different chemicals. Current technological advances enable the application of chemical genetics to almost any organism and at an unprecedented throughput. Here we review the underlying concepts behind chemical genetics, present its different vignettes and illustrate how such approaches can propel drug discovery.

Indexed as

Drug interactionsDrug resistanceDrug targetGenomicsHigh-throughput screening

Identifiers

PMID32715163
PMCPMC7371212

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.