Literature DB >> 18224703

Modeling HERG and its interactions with drugs: recent advances in light of current potassium channel simulations.

Maurizio Recanatini1, Andrea Cavalli, Matteo Masetti.   

Abstract

The hERG K(+) channel is responsible for the rapid delayed rectifier current in cardiac myocytes, and a block of its functioning may be related with the (inherited or drug-induced) long QT syndrome. For this reason, in recent times, some interest has arisen around computational studies aimed at developing hERG/drug models for the prediction of drug binding (docking) modes, in view of the assessment of the hERG blocking potential. On the other hand, voltage-gated K(+) channels have been the subject of molecular simulations for several years, and rigorous protocols for studying the main aspects of their functions (permeation, gating, voltage sensing) have been published. In this article, we briefly introduce these classical computational works on K(+) channels, and then review in depth the reports on the latest advanced modeling studies on hERG. The aim is to put the hERG modeling work in the more general context of the ion channel simulations field, to show the peculiarity of hERG on the one side, and also to indicate some possible new avenues in the use of modeling techniques to increase our knowledge of this important channel.

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Year:  2008        PMID: 18224703     DOI: 10.1002/cmdc.200700264

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  12 in total

Review 1.  HERG1 channelopathies.

Authors:  Michael C Sanguinetti
Journal:  Pflugers Arch       Date:  2009-11-22       Impact factor: 3.657

2.  A permeation theory for single-file ion channels: one- and two-step models.

Authors:  Peter Hugo Nelson
Journal:  J Chem Phys       Date:  2011-04-28       Impact factor: 3.488

Review 3.  Modeling and simulation of ion channels.

Authors:  Christopher Maffeo; Swati Bhattacharya; Jejoong Yoo; David Wells; Aleksei Aksimentiev
Journal:  Chem Rev       Date:  2012-10-04       Impact factor: 60.622

Review 4.  Computational methods of studying the binding of toxins from venomous animals to biological ion channels: theory and applications.

Authors:  Dan Gordon; Rong Chen; Shin-Ho Chung
Journal:  Physiol Rev       Date:  2013-04       Impact factor: 37.312

Review 5.  Cardiac models in drug discovery and development: a review.

Authors:  Robert K Amanfu; Jeffrey J Saucerman
Journal:  Crit Rev Biomed Eng       Date:  2011

6.  Computational Models for Predictive Cardiac Ion Channel Pharmacology.

Authors:  Vladimir Yarov-Yarovoy; Toby W Allen; Colleen E Clancy
Journal:  Drug Discov Today Dis Models       Date:  2014-08-05

Review 7.  Multiscale Modeling in the Clinic: Drug Design and Development.

Authors:  Colleen E Clancy; Gary An; William R Cannon; Yaling Liu; Elebeoba E May; Peter Ortoleva; Aleksander S Popel; James P Sluka; Jing Su; Paolo Vicini; Xiaobo Zhou; David M Eckmann
Journal:  Ann Biomed Eng       Date:  2016-02-17       Impact factor: 3.934

8.  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

9.  Quantitative prediction of the arrhythmogenic effects of de novo hERG mutations in computational models of human ventricular tissues.

Authors:  Alan P Benson; Moza Al-Owais; Arun V Holden
Journal:  Eur Biophys J       Date:  2011-01-14       Impact factor: 1.733

10.  How to solve the problems of docking into a symmetric binding site: the example of the HERG channel.

Authors:  Andrea Schiesaro; Lars Richter; Gerhard F Ecker
Journal:  Sci Pharm       Date:  2013-07-31
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