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Flagging Drugs That Inhibit the Bile Salt Export Pump

Montanari, Floriane; Pinto, Marta; Khunweeraphong, Narakorn; Wlcek, Katrin; Sohail, M Imran; Noeske, Tobias; Boyer, Scott; Chiba, Peter; Stieger, Bruno; Kuchler, Karl; Ecker, Gerhard F (2016). Flagging Drugs That Inhibit the Bile Salt Export Pump. Molecular Pharmaceutics, 13(1):163-171.

Abstract

The bile salt export pump (BSEP) is an ABC-transporter expressed at the canalicular membrane of hepatocytes. Its physiological role is to expel bile salts into the canaliculi from where they drain into the bile duct. Inhibition of this transporter may lead to intrahepatic cholestasis. Predictive computational models of BSEP inhibition may allow for fast identification of potentially harmful compounds in large databases. This article presents a predictive in silico model based on physicochemical descriptors that is able to flag compounds as potential BSEP inhibitors. This model was built using a training set of 670 compounds with available BSEP inhibition potencies. It successfully predicted BSEP inhibition for two independent test sets and was in a further step used for a virtual screening experiment. After in vitro testing of selected candidates, a marketed drug, bromocriptin, was identified for the first time as BSEP inhibitor. This demonstrates the usefulness of the model to identify new BSEP inhibitors and therefore potential cholestasis perpetrators.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Clinical Pharmacology and Toxicology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Life Sciences > Molecular Medicine
Life Sciences > Pharmaceutical Science
Life Sciences > Drug Discovery
Language:English
Date:4 January 2016
Deposited On:18 Jan 2016 15:15
Last Modified:14 Mar 2025 02:37
Publisher:American Chemical Society (ACS)
ISSN:1543-8384
OA Status:Green
Publisher DOI:https://doi.org/10.1021/acs.molpharmaceut.5b00594
PubMed ID:26642869
Project Information:
  • Funder: FP7
  • Grant ID: 115002
  • Project Title: ETOX - Integrating bioinformatics and chemoinformatics approaches for the development of expert systems allowing the in silico prediction of toxicities
  • Funder: FP7
  • Grant ID: 115002
  • Project Title: ETOX - Integrating bioinformatics and chemoinformatics approaches for the development of expert systems allowing the in silico prediction of toxicities
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