Literature DB >> 25752796

Utilization of human nuclear receptors as an early counter screen for off-target activity: a case study with a compendium of 615 known drugs.

Fan Fan1, Rong Hu1, Anke Munzli1, Yuan Chen1, Robert T Dunn1, Kerstin Weikl1, Simone Strauch1, Ralf Schwandner1, Cynthia A Afshari1, Hisham Hamadeh1, Paul Nioi2.   

Abstract

Off-target effects of drugs on nuclear hormone receptors (NHRs) may result in adverse effects in multiple organs/physiological processes. Reliable assessments of the NHR activities for drug candidates are therefore crucial for drug development. However, the highly permissive structures of NHRs for vastly different ligands make it challenging to predict interactions by examining the chemical structures of the ligands. Here, we report a detailed investigation on the agonistic and antagonistic activities of 615 known drugs or drug candidates against a panel of 6 NHRs: androgen, progesterone, estrogen α/β, and thyroid hormone α/β receptors. Our study revealed that 4.7 and 12.4% compounds have agonistic and antagonistic activities, respectively, against this panel of NHRs. Nonetheless, potent, unintended NHR hits are relatively rare among the known drugs, indicating that such interactions are perhaps not tolerated during drug development. However, we uncovered examples of compounds that unintentionally agonize or antagonize NHRs. In addition, a number of compounds showed multi-NHR activities, suggesting that the cross-talk between multiple NHRs co-operate to elicit in vivo effects. These data highlight the merits of counter screening drug candidate against NHRs during drug discovery/development.
© The Author 2015. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  androgen receptor; estrogen receptor; hazard identification; in vitro; nuclear hormone receptor; profiling; progesterone receptor; thyroid receptor

Mesh:

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Year:  2015        PMID: 25752796     DOI: 10.1093/toxsci/kfv052

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  5 in total

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4.  The integration of pharmacophore-based 3D QSAR modeling and virtual screening in safety profiling: A case study to identify antagonistic activities against adenosine receptor, A2A, using 1,897 known drugs.

Authors:  Fan Fan; Dora Toledo Warshaviak; Hisham K Hamadeh; Robert T Dunn
Journal:  PLoS One       Date:  2019-01-03       Impact factor: 3.240

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  5 in total

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