Evidence map›Paper›PMID 22179068›Full record

ArticleNature chemical biology2011

Chemical informatics and target identification in a zebrafish phenotypic screen.

Christian Laggner, David Kokel, Vincent Setola, Alexandra Tolia, Henry Lin, John J Irwin, Michael J Keiser, Chung Yan J Cheung, Daniel L Minor, Bryan L Roth and 2 more

Abstract read
In one paragraph

Article in Nature chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Review
  2. Review
  3. Behavioral Profiling in Zebrafish Identifies Insecticide-Related Compounds.Journal of agricultural and food chemistry · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Zebrafish as a Model for Anticancer Nanomedicine Studies.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  8. Article
  9. Validation strategies for target prediction methods.Briefings in bioinformatics · 2020
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Predicted Biological Activity of Purchasable Chemical Space.Journal of chemical information and modeling · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  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

12 authors.

Christian LaggnerDepartment of Pharmaceutical Chemistry, University of California, San Francisco, California, USA.
David Kokel
Vincent Setola
Alexandra Tolia
Henry Lin
John J Irwin
Michael J Keiser
Chung Yan J Cheung
Daniel L Minor
Bryan L Roth
Randall T Peterson
Brian K Shoichet

Funding

VIRAL DEGENERATIVE DEMENTING DISEASE IN AGING (SUPP)P01AG002132 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PRUSINER, STANLEY B · 1985 to 2024
$51.7M
Screening CoreU19MH082441 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CARON, MARC G., ROTH, BRYAN L. · 2007 to 2016
$15.2M
Genetic and chemical biological studies of K2P structure, function, andmodulationR01MH093603 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DANIEL L MINOR · 2011 to 2026
$8.5M
A Web-Based Automatic Virtual Screening SystemR01GM071896 · NIGMS · UNIVERSITY OF TORONTO · PI IRWIN, JOHN J. · 2004 to 2024
$6.0M
In Vivo Discovery of Psychotropic Drugs by High-Throughput Behavioral PhenotypingR01MH086867 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PETERSON, RANDALL T · 2009 to 2012
$1.4M
Discovery and characterization of ion channel modulatorsR01NS049272 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MINOR, DANIEL L · 2004 to 2007
$1.4M
High-throughput behavior-based dopaminergic drug discovery in the zebrafishK01MH091449 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOKEL, DAVID · 2010 to 2014
$931k
High-throughput behavioral screening for in vivo discovery of neuroactive drugsR21MH085205 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PETERSON, RANDALL T · 2009 to 2009
$265k
NIA NIH HHS AG02132NIA NIH HHS P01 AG002132NIGMS NIH HHS GM71896NIGMS NIH HHS R01 GM071896NIMH NIH HHS K01 MH091449NIMH NIH HHS MH085205NIMH NIH HHS MH086867NIMH NIH HHS MH091449NIMH NIH HHS R01 MH086867NIMH NIH HHS R01 MH093603NIMH NIH HHS R21 MH085205NIMH NIH HHS U19 MH082441NIMH NIH HHS U19MH82441NINDS NIH HHS R01 NS049272NINDS NIH HHS R01 NS49272
6 · The paper itself

Abstract

Target identification is a core challenge in chemical genetics. Here we use chemical similarity to computationally predict the targets of 586 compounds that were active in a zebrafish behavioral assay. Among 20 predictions tested, 11 compounds had activities ranging from 1 nM to 10,000 nM on the predicted targets. The roles of two of these targets were tested in the original zebrafish phenotype. Prediction of targets from chemotype is rapid and may be generally applicable.

Indexed as

Computer SimulationAnimalsBehavior, AnimalDose-Response Relationship, DrugDrug Evaluation, PreclinicalPhenotypeStructure-Activity RelationshipZebrafish

Identifiers

PMID22179068
PMCPMC3262069

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.