Evidence map›Paper›PMID 23446112›Full record

ArticleOpen biology2013

Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds.

Elizabeth Bilsland, Andrew Sparkes, Kevin Williams, Harry J Moss, Michaela de Clare, Pinar Pir, Jem Rowland, Wayne Aubrey, Ron Pateman, Mike Young and 3 more

Open access · goldAbstract read
In one paragraph

Article in Open biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

20 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Automating the practice of science: Opportunities, challenges, and implications.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Two flavonoid-based compounds fromJournal of microbiology and biotechnology · 2020
    Article
  10. Article
  11. Article
  12. Yeast Systems Biology: The Continuing Challenge of Eukaryotic Complexity.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 4 institutions in 1 country.

Elizabeth BilslandCambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Sanger Building, 80 Tennis Court Road, Cambridge CB2 1GA, UK.
Andrew Sparkes
Kevin Williams
Harry J Moss
Michaela de Clare
Pinar Pir
Jem Rowland
Wayne Aubrey
Ron Pateman
Mike Young
Mark Carrington
Ross D King
Stephen G Oliver
University of Cambridge · GBAberystwyth University · GBUniversity of Manchester · GBInstitute of Biological, Environmental and Rural Sciences · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F008228/1
6 · The paper itself

Abstract

We have developed a robust, fully automated anti-parasitic drug-screening method that selects compounds specifically targeting parasite enzymes and not their host counterparts, thus allowing the early elimination of compounds with potential side effects. Our yeast system permits multiple parasite targets to be assayed in parallel owing to the strains' expression of different fluorescent proteins. A strain expressing the human target is included in the multiplexed screen to exclude compounds that do not discriminate between host and parasite enzymes. This form of assay has the advantages of using known targets and not requiring the in vitro culture of parasites. We performed automated screens for inhibitors of parasite dihydrofolate reductases, N-myristoyltransferases and phosphoglycerate kinases, finding specific inhibitors of parasite targets. We found that our 'hits' have significant structural similarities to compounds with in vitro anti-parasitic activity, validating our screens and suggesting targets for hits identified in parasite-based assays. Finally, we demonstrate a 60 per cent success rate for our hit compounds in killing or severely inhibiting the growth of Trypanosoma brucei, the causative agent of African sleeping sickness.

Indexed as

Antiparasitic AgentsDrug DiscoveryHigh-Throughput Screening AssaysHumansLeadSmall Molecule LibrariesTrypanosoma brucei bruceiTrypanosomiasis, AfricanYeastsAntiparasitic AgentsLeadSmall Molecule Libraries

Identifiers

PMID23446112
PMCPMC3603448
OpenAlexW2114086684

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.