Literature DB >> 17154521

Common pharmacophores for uncharged human ether-a-go-go-related gene (hERG) blockers.

Alex M Aronov1.   

Abstract

In silico approaches are widely used to predict human ether-a-go-go-related gene (hERG) channel blockade. Published pharmacophore models of hERG blockers typically contain a basic nitrogen center flanked by aromatic or hydrophobic groups. However, hERG blockade has been observed in series lacking the basic nitrogen. By utilizing screening data for 194 potent uncharged hERG actives, we propose a pharmacophore for neutral hERG blockers, and provide guidance on eliminating hERG liability in an uncharged hERG active chemical series.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17154521     DOI: 10.1021/jm060500o

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  12 in total

1.  Cardio-vascular safety beyond hERG: in silico modelling of a guinea pig right atrium assay.

Authors:  Luca A Fenu; Ard Teisman; Stefan S De Buck; Vikash K Sinha; Ron A H J Gilissen; Marjoleen J M A Nijsen; Claire E Mackie; Wendy E Sanderson
Journal:  J Comput Aided Mol Des       Date:  2009-11-05       Impact factor: 3.686

2.  Predicting the potency of hERG K⁺ channel inhibition by combining 3D-QSAR pharmacophore and 2D-QSAR models.

Authors:  Yayu Tan; Yadong Chen; Qidong You; Haopeng Sun; Manhua Li
Journal:  J Mol Model       Date:  2011-06-10       Impact factor: 1.810

3.  Compilation and physicochemical classification analysis of a diverse hERG inhibition database.

Authors:  Remigijus Didziapetris; Kiril Lanevskij
Journal:  J Comput Aided Mol Des       Date:  2016-10-25       Impact factor: 3.686

4.  Asymmetric synthesis and evaluation of a hydroxyphenylamide voltage-gated sodium channel blocker in human prostate cancer xenografts.

Authors:  Gary C Davis; Yali Kong; Mikell Paige; Zhang Li; Ellen C Merrick; Todd Hansen; Simeng Suy; Kan Wang; Sivanesan Dakshanamurthy; Antoinette Cordova; Owen B McManus; Brande S Williams; Maksymilian Chruszcz; Wladek Minor; Manoj K Patel; Milton L Brown
Journal:  Bioorg Med Chem       Date:  2011-09-01       Impact factor: 3.641

5.  Novel Bayesian classification models for predicting compounds blocking hERG potassium channels.

Authors:  Li-li Liu; Jing Lu; Yin Lu; Ming-yue Zheng; Xiao-min Luo; Wei-liang Zhu; Hua-liang Jiang; Kai-xian Chen
Journal:  Acta Pharmacol Sin       Date:  2014-06-30       Impact factor: 6.150

6.  A critical assessment of combined ligand- and structure-based approaches to HERG channel blocker modeling.

Authors:  Lei Du-Cuny; Lu Chen; Shuxing Zhang
Journal:  J Chem Inf Model       Date:  2011-10-13       Impact factor: 4.956

7.  Pyrano[2,3,4-cd]indole as a Scaffold for Selective Nonbasic 5-HT6R Ligands.

Authors:  Jakub Staroń; Stefan Mordalski; Dawid Warszycki; Grzegorz Satała; Adam Hogendorf; Andrzej J Bojarski
Journal:  ACS Med Chem Lett       Date:  2017-03-27       Impact factor: 4.345

8.  Carbamate and N-Pyrimidine Mitigate Amide Hydrolysis: Structure-Based Drug Design of Tetrahydroquinoline IDO1 Inhibitors.

Authors:  Derun Li; Yongqi Deng; Abdelghani Achab; Indu Bharathan; Brett Andrew Hopkins; Wensheng Yu; Hongjun Zhang; Sulagna Sanyal; Qinglin Pu; Hua Zhou; Kun Liu; Jongwon Lim; Xavier Fradera; Charles A Lesburg; Alfred Lammens; Theodore A Martinot; Ryan D Cohen; Amy C Doty; Heidi Ferguson; Elliott B Nickbarg; Mangeng Cheng; Peter Spacciapoli; Prasanthi Geda; Xuelei Song; Nadya Smotrov; Pravien Abeywickrema; Christine Andrews; Chad Chamberlin; Omar Mabrouk; Patrick Curran; Matthew Richards; Peter Saradjian; J Richard Miller; Ian Knemeyer; Karin M Otte; Stella Vincent; Nunzio Sciammetta; Alexander Pasternak; David Jonathan Bennett; Yongxin Han
Journal:  ACS Med Chem Lett       Date:  2021-02-26       Impact factor: 4.345

9.  Understanding hERG inhibition with QSAR models based on a one-dimensional molecular representation.

Authors:  David J Diller; Doug W Hobbs
Journal:  J Comput Aided Mol Des       Date:  2007-06-05       Impact factor: 4.179

10.  Global analysis reveals families of chemical motifs enriched for HERG inhibitors.

Authors:  Fang Du; Joseph J Babcock; Haibo Yu; Beiyan Zou; Min Li
Journal:  PLoS One       Date:  2015-02-20       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.