Evidence map›Paper›PMID 40802735›Full record

ArticlePloS one2025

Computationally accelerated identification of P-glycoprotein inhibitors.

Lauren A McCormick, James W McCormick, Chanyang Park, Courtney A Follit, John G Wise, Pia D Vogel

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. The Antidepressant Drug Clomipramine Inhibits the ABC Transporter BmrA.Chembiochem : a European journal of chemical biology · 2026
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Lauren A McCormickDepartment of Biological Sciences, Southern Methodist University, Dallas, Texas, United States of America.ORCID https://orcid.org/0000-0001-9164-0932
James W McCormickDepartment of Biological Sciences, Southern Methodist University, Dallas, Texas, United States of America.
Chanyang ParkDepartment of Biological Sciences, Southern Methodist University, Dallas, Texas, United States of America.
Courtney A FollitDepartment of Biological Sciences, Southern Methodist University, Dallas, Texas, United States of America.
John G WiseDepartment of Biological Sciences, Southern Methodist University, Dallas, Texas, United States of America.
Pia D VogelDepartment of Biological Sciences, Southern Methodist University, Dallas, Texas, United States of America.

Funding

In vitro testing of P-glycoprotein inhibitors identified from in silico databaseR15GM094771 · NIGMS · SOUTHERN METHODIST UNIVERSITY · PI WISE, JOHN GREGORY · 2011 to 2015
$666k
NIGMS NIH HHS R15 GM094771
6 · The paper itself

Abstract

Overexpression of the polyspecific efflux transporter, P-glycoprotein (P-gp, MDR1, ABCB1), is a major mechanism by which cancer cells acquire multidrug resistance (MDR), the resistance to diverse chemotherapeutic drugs. Inhibiting drug transport by P-gp can resensitize cancer cells to chemotherapy, but there are no P-gp inhibitors available to patients. Clinically unsuccessful P-gp inhibitors tend to bind at the pump's transmembrane drug binding domains and are often P-gp transport substrates, resulting in lowered intracellular concentration of the drug and altered pharmacokinetics. In prior work, we used computationally accelerated drug discovery to identify novel P-gp inhibitors that target the pump's cytoplasmic nucleotide binding domains. Our first-draft study provided conclusive evidence that the nucleotide binding domains of P-gp are viable targets for drug discovery. Here we develop an enhanced, computationally accelerated drug discovery pipeline that expands upon our prior work by iteratively screening compounds against multiple conformations of P-gp with molecular docking. Targeted molecular dynamics simulations with our homology model of human P-gp were used to generate docking receptors in conformations mimicking a putative drug transport cycle. We offset the increased computational complexity using custom Tanimoto chemical datasets, which maximize the chemical diversity of ligands screened by docking. Using our expanded, virtual-assisted pipeline, we identified nine novel P-gp inhibitors that reverse MDR in two types of P-gp overexpressing human cancer cell lines, reflecting a 13.4% hit rate. Of these inhibitors, all were non-toxic to non-cancerous human cells, and six were not likely to be transport substrates of P-gp. Our novel P-gp inhibitors are chemically diverse and are good candidates for lead optimization. Our results demonstrate that the nucleotide binding domains of P-gp are an underappreciated target in the effort to reverse P-gp-mediated multidrug resistance in cancer.

Indexed as

Antineoplastic AgentsATP Binding Cassette Transporter, Subfamily B, Member 1Drug DiscoveryATP Binding Cassette Transporter, Subfamily BDrug Resistance, MultipleDrug Resistance, NeoplasmHumansMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1

Identifiers

PMID40802735
PMCPMC12349723

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Registered trials

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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.