An In Silico Classification Model for Putative ABCC2 Substrates.

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.

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.

Who cites it

12 citing papers in PubMed.

1. MONSTROUS: a web-based chemical-transporter interaction profiler.Frontiers in pharmacology · 2025
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2. Using Jupyter Notebooks for re-training machine learning models.Journal of cheminformatics · 2022
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3. Vienna LiverTox Workspace-A Set of Machine Learning Models for Prediction of Interactions Profiles of Small Molecules With Transporters Relevant for Regulatory Agencies.Frontiers in chemistry · 2019
   Article
4. Molecular Modeling of Drug-Transporter Interactions-An International Transporter Consortium Perspective.Clinical pharmacology and therapeutics · 2018
   Review
5. Interspecies comparison of putative ligand binding sites of human, rat and mouse P-glycoprotein.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2018
   Article
6. Predicting drug resistance related to ABC transporters using unsupervised Consensus Self-Organizing Maps.Scientific reports · 2018
   Article
7. Structure based classification for bile salt export pump (BSEP) inhibitors using comparative structural modeling of human BSEP.Journal of computer-aided molecular design · 2017
   Article
8. A structure-activity relationship study of ABCC2 inhibitors.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2017
   Article
9. Subtle Structural Differences Trigger Inhibitory Activity of Propafenone Analogues at the Two Polyspecific ABC Transporters: P-Glycoprotein (P-gp) and Breast Cancer Resistance Protein (BCRP).ChemMedChem · 2016
   Article
10. Exploring different strategies for imbalanced ADME data problem: case study on Caco-2 permeability modeling.Molecular diversity · 2016
    Article
11. Prediction of drug-ABC-transporter interaction--Recent advances and future challenges.Advanced drug delivery reviews · 2015
    Review
12. The eTOX data-sharing project to advance in silico drug-induced toxicity prediction.International journal of molecular sciences · 2014
    Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

3 authors.

Funding

Abstract

PubMed holds no abstract for this paper.