Literature DB >> 18175275

Tuning out of hERG.

Alex M Aronov1.   

Abstract

A number of drug withdrawals in recent years have been related to cardiovascular toxicity associated with undesirable blockade of the hERG potassium channel. A promiscuous target, hERG has been demonstrated to interact with pharmaceuticals of widely varying structure. Computational and statistical modeling efforts encompassing homology modeling, pharmacophore and quantitative structure-activity relationship models, and also various classification methods, are aimed at defining the molecular features that confer hERG inhibitory activity and understanding the structure-activity relationships that govern hERG-drug interactions. The organization-wide adoption of hERG models is driven by their ability to produce specific and testable structural hypotheses that lead to compounds devoid of hERG liability.

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Year:  2008        PMID: 18175275

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  4 in total

1.  Similarity-based SIBAR descriptors for classification of chemically diverse hERG blockers.

Authors:  Khac-Minh Thai; Gerhard F Ecker
Journal:  Mol Divers       Date:  2009-02-14       Impact factor: 2.943

2.  Prediction of hERG Liability - Using SVM Classification, Bootstrapping and Jackknifing.

Authors:  Hongmao Sun; Ruili Huang; Menghang Xia; Sampada Shahane; Noel Southall; Yuhong Wang
Journal:  Mol Inform       Date:  2016-12-21       Impact factor: 3.353

3.  Design of Selective PAK1 Inhibitor G-5555: Improving Properties by Employing an Unorthodox Low-pK a Polar Moiety.

Authors:  Chudi O Ndubaku; James J Crawford; Joy Drobnick; Ignacio Aliagas; David Campbell; Ping Dong; Laura M Dornan; Sergio Duron; Jennifer Epler; Lewis Gazzard; Christopher E Heise; Klaus P Hoeflich; Diana Jakubiak; Hank La; Wendy Lee; Baiwei Lin; Joseph P Lyssikatos; Jasna Maksimoska; Ronen Marmorstein; Lesley J Murray; Thomas O'Brien; Angela Oh; Sreemathy Ramaswamy; Weiru Wang; Xianrui Zhao; Yu Zhong; Elizabeth Blackwood; Joachim Rudolph
Journal:  ACS Med Chem Lett       Date:  2015-10-31       Impact factor: 4.345

4.  A new homogeneous high-throughput screening assay for profiling compound activity on the human ether-a-go-go-related gene channel.

Authors:  Steven A Titus; Daniel Beacham; Sampada A Shahane; Noel Southall; Menghang Xia; Ruili Huang; Elizabeth Hooten; Yong Zhao; Louie Shou; Christopher P Austin; Wei Zheng
Journal:  Anal Biochem       Date:  2009-07-05       Impact factor: 3.365

  4 in total

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