Publication:

Flagging Drugs That Inhibit the Bile Salt Export Pump

Date

Date

Date
2016
Journal Article
Published version
cris.lastimport.scopus2025-08-09T03:30:12Z
cris.lastimport.wos2025-08-14T01:30:35Z
dc.contributor.institutionUniversity of Zurich
dc.date.accessioned2016-01-18T15:15:59Z
dc.date.available2016-01-18T15:15:59Z
dc.date.issued2016-01-04
dc.description.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.

dc.identifier.doi10.1021/acs.molpharmaceut.5b00594
dc.identifier.issn1543-8384
dc.identifier.scopus2-s2.0-84953450023
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/115428
dc.identifier.wos000367866200017
dc.language.isoeng
dc.subject.ddc610 Medicine & health
dc.title

Flagging Drugs That Inhibit the Bile Salt Export Pump

dc.typearticle
dcterms.accessRightsinfo:eu-repo/semantics/openAccess
dcterms.bibliographicCitation.journaltitleMolecular Pharmaceutics
dcterms.bibliographicCitation.number1
dcterms.bibliographicCitation.originalpublishernameAmerican Chemical Society (ACS)
dcterms.bibliographicCitation.pageend171
dcterms.bibliographicCitation.pagestart163
dcterms.bibliographicCitation.pmid26642869
dcterms.bibliographicCitation.volume13
dspace.entity.typePublicationen
uzh.contributor.affiliationUniversitat Wien
uzh.contributor.affiliationUniversitat Wien
uzh.contributor.affiliationMedizinische Universitat Wien
uzh.contributor.affiliationUniversitat Wien
uzh.contributor.affiliationMedizinische Universitat Wien
uzh.contributor.affiliationAstraZeneca Sweden
uzh.contributor.affiliationAstraZeneca Sweden
uzh.contributor.affiliationMedizinische Universitat Wien
uzh.contributor.affiliationUniversitätsSpital Bern
uzh.contributor.affiliationMedizinische Universitat Wien
uzh.contributor.affiliationUniversitat Wien
uzh.contributor.authorMontanari, Floriane
uzh.contributor.authorPinto, Marta
uzh.contributor.authorKhunweeraphong, Narakorn
uzh.contributor.authorWlcek, Katrin
uzh.contributor.authorSohail, M Imran
uzh.contributor.authorNoeske, Tobias
uzh.contributor.authorBoyer, Scott
uzh.contributor.authorChiba, Peter
uzh.contributor.authorStieger, Bruno
uzh.contributor.authorKuchler, Karl
uzh.contributor.authorEcker, Gerhard F
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceYes
uzh.document.availabilitypostprint
uzh.eprint.datestamp2016-01-18 15:15:59
uzh.eprint.lastmod2025-08-14 01:36:44
uzh.eprint.statusChange2016-01-18 15:15:59
uzh.funder.nameFP7
uzh.funder.nameFP7
uzh.funder.projectNumber115002
uzh.funder.projectNumber115002
uzh.funder.projectTitleETOX - Integrating bioinformatics and chemoinformatics approaches for the development of expert systems allowing the in silico prediction of toxicities
uzh.funder.projectTitleETOX - Integrating bioinformatics and chemoinformatics approaches for the development of expert systems allowing the in silico prediction of toxicities
uzh.harvester.ethYes
uzh.harvester.nbNo
uzh.identifier.doi10.5167/uzh-118806
uzh.jdb.eprintsId15466
uzh.oastatus.unpaywallgreen
uzh.oastatus.zoraGreen
uzh.publication.citationMontanari, 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.
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.scopus.impact29
uzh.scopus.subjectsMolecular Medicine
uzh.scopus.subjectsPharmaceutical Science
uzh.scopus.subjectsDrug Discovery
uzh.workflow.doajuzh.workflow.doaj.false
uzh.workflow.eprintid118806
uzh.workflow.fulltextStatuspublic
uzh.workflow.revisions53
uzh.workflow.rightsCheckkeininfo
uzh.workflow.statusarchive
uzh.wos.impact26
Files

Original bundle

Name:
acs.molpharmaceut.pdf
Size:
396.4 KB
Format:
Adobe Portable Document Format
Publication available in collections: