Literature DB >> 21802950

Novel and highly potent histamine H3 receptor ligands. Part 1: withdrawing of hERG activity.

Nicolas Levoin1, Olivier Labeeuw, Thierry Calmels, Olivia Poupardin-Olivier, Isabelle Berrebi-Bertrand, Jeanne-Marie Lecomte, Jean-Charles Schwartz, Marc Capet.   

Abstract

Pre-clinical investigation of some aryl-piperidinyl ether histamine H3 receptor antagonists revealed a strong hERG binding. To overcome this issue, we have developed a QSAR model specially dedicated to H3 receptor ligands. This model was designed to be directly applicable in medicinal chemistry with no need of molecular modeling. The resulting recursive partitioning trees are robust (80-85% accuracy), but also simple and comprehensible. A novel promising lead emerged from our work and the structure-activity relationships are presented.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21802950     DOI: 10.1016/j.bmcl.2011.07.006

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  3 in total

1.  Early identification of hERG liability in drug discovery programs by automated patch clamp.

Authors:  Timm Danker; Clemens Möller
Journal:  Front Pharmacol       Date:  2014-09-02       Impact factor: 5.810

2.  Computational Tool for Fast in silico Evaluation of hERG K+ Channel Affinity.

Authors:  Giulia Chemi; Sandra Gemma; Giuseppe Campiani; Simone Brogi; Stefania Butini; Margherita Brindisi
Journal:  Front Chem       Date:  2017-02-23       Impact factor: 5.221

3.  Predicting hERG channel blockers with directed message passing neural networks.

Authors:  Mengyi Shan; Chen Jiang; Jing Chen; Lu-Ping Qin; Jiang-Jiang Qin; Gang Cheng
Journal:  RSC Adv       Date:  2022-01-26       Impact factor: 3.361

  3 in total

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