<i>In Silico</i> Prediction of Potential Bile Salt Export Pump Inhibitors Using Pharmacophore Models and Consensus Machine Learning

measurements of predicted BSEP inhibitors where the model was able to correctly flag eight out of 11 compounds.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-04-24
DOI
https://doi.org/10.1021/acs.jcim.6c00364
Primary Topic
Drug Transport and Resistance Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
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article

In Silico Prediction of Potential Bile Salt Export Pump Inhibitors Using Pharmacophore Models and Consensus Machine Learning

Sebastian Schieferdecker, Jasmin Lott, Lydia Wölflingseder
Journal of Chemical Information and Modeling
Drug Transport and Resistance Mechanisms
article

In Silico Prediction of Potential Bile Salt Export Pump Inhibitors Using Pharmacophore Models and Consensus Machine Learning

Sebastian Schieferdecker, Jasmin Lott, Lydia Wölflingseder
article en

Abstract

measurements of predicted BSEP inhibitors where the model was able to correctly flag eight out of 11 compounds.

Journal of Chemical Information and ModelingVol. 66(9)
Boehringer Ingelheim (Germany) (DE), Boehringer Ingelheim (India) (IN)
Good health and well-being
Openalex Percentile: Top 21%
Drug Transport and Resistance Mechanisms
DOISourceOpenAlex
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