Evidence map›Paper›PMID 20546776›Full record

ReviewPharmacology & therapeutics2010

A survey of yeast genomic assays for drug and target discovery.

Andrew M Smith, Ron Ammar, Corey Nislow, Guri Giaever

Abstract readReview
In one paragraph

Review in Pharmacology & therapeutics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Yeast as a Model for Human Disease.International journal of molecular sciences · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Alterations in cellular metabolisms after Imatinib therapy: a review.Medical oncology (Northwood, London, England) · 2022
    Review
  10. Review
  11. Functional genomics and metabolomics advance the ethnobotany of the Samoan traditional medicine "matalafi".Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Chemogenomic study of gemcitabine using Saccharomyces cerevisiae as model cell-molecular insights about chemoresistance.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Article
  17. Article
  18. Chemogenetic interactions in human cancer cells.Computational and structural biotechnology journal · 2019
    Review
  19. Review
  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

4 authors.

Andrew M SmithDepartment of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, Ontario, Canada.
Ron Ammar
Corey Nislow
Guri Giaever

Funding

Technology to Identify and Assay Chemical Genomic ProbesR01HG003317 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2004 to 2012
$9.1M
NHGRI NIH HHS R01 HG003317
6 · The paper itself

Abstract

Over the past decade, the development and application of chemical genomic assays using the model organism Saccharomyces cerevisiae has provided powerful methods to identify the mechanism of action of known drugs and novel small molecules in vivo. These assays identify drug target candidates, genes involved in buffering drug target pathways and also help to define the general cellular response to small molecules. In this review, we examine current yeast chemical genomic assays and summarize the potential applications of each approach.

Indexed as

Drug Delivery SystemsAntifungal AgentsDrug DesignGene Expression ProfilingGenome, FungalGenomicsHumansSaccharomyces cerevisiaeAntifungal Agents

Identifiers

PMID20546776
PMCPMC2923554

What OpenQuestion holds

Textmetadata
LicenceTDM
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.