Evidence map›Paper›PMID 36269563›Full record

ArticleMolecular pharmaceutics2022

Machine Learning Models Identify New Inhibitors for Human OATP1B1.

Thomas R Lane, Fabio Urbina, Xiaohong Zhang, Margret Fye, Jacob Gerlach, Stephen H Wright, Sean Ekins

Open access · greenAbstract read
In one paragraph

Article in Molecular pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. DDI-CYP: Metabolism ensemble models for drug-drug interaction predictions.Drug metabolism and disposition: the biological fate of chemicals · 2025
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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

7 authors at 2 institutions in 1 country.

Thomas R LaneCollaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510 Raleigh, North Carolina 27606, United States.
Fabio UrbinaCollaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510 Raleigh, North Carolina 27606, United States.
Xiaohong ZhangDepartment of Physiology, College of Medicine, University of Arizona, Tucson, Arizona 85724, United States.
Margret FyeDepartment of Physiology, College of Medicine, University of Arizona, Tucson, Arizona 85724, United States.
Jacob GerlachCollaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510 Raleigh, North Carolina 27606, United States.
Stephen H WrightDepartment of Physiology, College of Medicine, University of Arizona, Tucson, Arizona 85724, United States.
Sean EkinsCollaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510 Raleigh, North Carolina 27606, United States.ORCID 0000-0002-5691-5790
Collaborations Pharmaceuticals (United States) · USUniversity of Arizona · US

Funding

Centralized assay datasets for modelling support of small drug discovery organizationsR44GM122196 · NIGMS · COLLABORATIONS PHARMACEUTICALS, INC. · PI EKINS, SEAN · 2018 to 2022
$3.3M
MegaTrans – human transporter machine learning modelsR41GM131433 · NIGMS · COLLABORATIONS PHARMACEUTICALS, INC. · PI EKINS, SEAN, WRIGHT, STEPHEN H · 2019 to 2019
$211k
Centralized assay datasets for modelling support of small drug discovery organizationsR43GM122196 · NIGMS · COLLABORATIONS PHARMACEUTICALS, INC. · PI EKINS, SEAN · 2017 to 2017
$150k
NIGMS NIH HHS R41 GM131433NIGMS NIH HHS R43 GM122196NIGMS NIH HHS R44 GM122196
6 · The paper itself

Abstract

The uptake transporter OATP1B1 (SLC01B1) is largely localized to the sinusoidal membrane of hepatocytes and is a known victim of unwanted drug-drug interactions. Computational models are useful for identifying potential substrates and/or inhibitors of clinically relevant transporters. Our goal was to generate OATP1B1 in vitro inhibition data for [

Indexed as

AlgorithmsMachine LearningAnimalsBayes TheoremCricetinaeCricetulusHumansSoftwareSupport Vector Machinedeep learningdrug discoverymachine learningMegaTransOATP1B1support vector machinetransporters

Identifiers

PMID36269563
PMCPMC9873312
OpenAlexW4307031970

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.