Evidence map›Paper›PMID 31000801›Full record

ArticleNature materials2019

Opportunities and challenges using artificial intelligence in ADME/Tox.

Barun Bhhatarai, W Patrick Walters, Cornelis E C A Hop, Guido Lanza, Sean Ekins

Abstract read
In one paragraph

Article in Nature materials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
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  4. Article
  5. Applications of artificial intelligence in drug discovery for neurological diseases.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Machine Learning in Early Prediction of Metabolism of Drugs.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  12. Article
  13. Review
  14. Review
  15. Article
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  17. Article
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  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

5 authors.

Barun BhhataraiNovartis Institutes for Biomedical Research, Cambridge, MA, USA.
W Patrick WaltersRelay Therapeutics, Cambridge, MA, USA.
Cornelis E C A HopGenentech, South San Francisco, CA, USA.
Guido LanzaNumerate, San Francisco, CA, USA.
Sean EkinsCollaborations Pharmaceuticals Inc., Raleigh, NC, USA. sean@collaborationspharma.com.

Funding

Centralized assay datasets for modelling support of small drug discovery organizationsR44GM122196 · NIGMS · COLLABORATIONS PHARMACEUTICALS, INC. · PI EKINS, SEAN · 2018 to 2022
$3.3M
Biocomputation across distributed private datasets to enhance drug discoveryR44TR000942 · NCATS · COLLABORATIVE DRUG DISCOVERY, INC. · PI BUNIN, BARRY A · 2013 to 2018
$2.9M
NCATS NIH HHS R44 TR000942NIGMS NIH HHS R44 GM122196NIH HHS R44 GM122196-02A1
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Drug DiscoveryMachine LearningAlgorithmsArtificial IntelligenceComputational BiologyComputer SimulationCongresses as TopicDecision MakingDeep LearningDrug DesignHumansMitochondriaPharmacokineticsTechnology, Pharmaceutical

Identifiers

PMID31000801
PMCPMC6594826

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.