Literature DB >> 24713091

In silico identification and in vitro validation of potential cholestatic compounds through 3D ligand-based pharmacophore modeling of BSEP inhibitors.

Tina Ritschel1, Susanne M A Hermans, Marieke Schreurs, Jeroen J M W van den Heuvel, Jan B Koenderink, Rick Greupink, Frans G M Russel.   

Abstract

Drug-induced cholestasis is a frequently observed side effect of drugs and is often caused by an unexpected interaction with the bile salt export pump (BSEP/ABCB11). BSEP is the key membrane transporter responsible for the transport of bile acids from hepatocytes into bile. Here, we developed a pharmacophore model that describes the molecular features of compounds associated with BSEP inhibitory activity. To generate input and validation data sets, in vitro experiments with membrane vesicles overexpressing human BSEP were used to assess the effect of compounds (50 μM) on BSEP-mediated (3)H-taurocholic acid transport. The model contains two hydrogen bond acceptor/anionic features, two hydrogen bond acceptor vector features, four hydrophobic/aromatic features, and exclusion volumes. The pharmacophore was validated against a set of 59 compounds, including registered drugs. The model recognized 9 out of 12 inhibitors (75%), which could not be identified based on general parameters, such as molecular weight or SlogP, alone. Finally, the model was used to screen a virtual compound database. A number of compounds found via virtual screening were tested and displayed statistically significant BSEP inhibition, ranging from 13 ± 1% to 67 ± 7% of control (P < 0.05). In conclusion, we developed and validated a pharmacophore model that describes molecular features found in BSEP inhibitors. The model may be used as an in silico screening tool to identify potentially harmful drug candidates at an early stage in drug development.

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Year:  2014        PMID: 24713091     DOI: 10.1021/tx5000393

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  8 in total

1.  Discovery of new Mycobacterium tuberculosis proteasome inhibitors using a knowledge-based computational screening approach.

Authors:  Rukmankesh Mehra; Reena Chib; Gurunadham Munagala; Kushalava Reddy Yempalla; Inshad Ali Khan; Parvinder Pal Singh; Farrah Gul Khan; Amit Nargotra
Journal:  Mol Divers       Date:  2015-08-01       Impact factor: 2.943

2.  Molecular Mechanism of Taurocholate Transport by the Bile Salt Export Pump, an ABC Transporter Associated with Intrahepatic Cholestasis.

Authors:  Muhammad Imran Sohail; Diethart Schmid; Katrin Wlcek; Matthias Spork; Gergely Szakács; Michael Trauner; Thomas Stockner; Peter Chiba
Journal:  Mol Pharmacol       Date:  2017-08-07       Impact factor: 4.436

3.  Toward predicting drug-induced liver injury: parallel computational approaches to identify multidrug resistance protein 4 and bile salt export pump inhibitors.

Authors:  Matthew A Welch; Kathleen Köck; Thomas J Urban; Kim L R Brouwer; Peter W Swaan
Journal:  Drug Metab Dispos       Date:  2015-03-03       Impact factor: 3.922

4.  Metformin Disrupts Bile Acid Efflux by Repressing Bile Salt Export Pump Expression.

Authors:  Brandy Garzel; Tao Hu; Linhao Li; Yuanfu Lu; Scott Heyward; James Polli; Lei Zhang; Shiew-Mei Huang; Jean-Pierre Raufman; Hongbing Wang
Journal:  Pharm Res       Date:  2020-01-06       Impact factor: 4.200

5.  Predicting Drug-Induced Cholestasis with the Help of Hepatic Transporters-An in Silico Modeling Approach.

Authors:  Eleni Kotsampasakou; Gerhard F Ecker
Journal:  J Chem Inf Model       Date:  2017-03-08       Impact factor: 4.956

Review 6.  Can Bile Salt Export Pump Inhibition Testing in Drug Discovery and Development Reduce Liver Injury Risk? An International Transporter Consortium Perspective.

Authors:  J Gerry Kenna; Kunal S Taskar; Christina Battista; David L Bourdet; Kim L R Brouwer; Kenneth R Brouwer; David Dai; Christoph Funk; Michael J Hafey; Yurong Lai; Jonathan Maher; Y Anne Pak; Jenny M Pedersen; Joseph W Polli; A David Rodrigues; Paul B Watkins; Kyunghee Yang; Robert W Yucha
Journal:  Clin Pharmacol Ther       Date:  2018-11       Impact factor: 6.875

7.  Scaffold fragmentation and substructure hopping reveal potential, robustness, and limits of computer-aided pattern analysis (C@PA).

Authors:  Vigneshwaran Namasivayam; Katja Silbermann; Jens Pahnke; Michael Wiese; Sven Marcel Stefan
Journal:  Comput Struct Biotechnol J       Date:  2021-05-10       Impact factor: 7.271

Review 8.  Prediction of drug-ABC-transporter interaction--Recent advances and future challenges.

Authors:  Floriane Montanari; Gerhard F Ecker
Journal:  Adv Drug Deliv Rev       Date:  2015-03-11       Impact factor: 15.470

  8 in total

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