Literature DB >> 21657256

Computer simulations of structure-activity relationships for HERG channel blockers.

Lars Boukharta1, Henrik Keränen, Anna Stary-Weinzinger, Göran Wallin, Bert L de Groot, Johan Aqvist.   

Abstract

The hERG potassium channel is of major pharmaceutical importance, and its blockade by various compounds, potentially causing serious cardiac side effects, is a major problem in drug development. Despite the large amounts of existing biochemical data on blockade of hERG by drugs and druglike compounds, relatively little is known regarding the structural basis of binding of blockers to the channel. Here, we have used a recently developed homology model of hERG to conduct molecular docking experiments with a series of channel blockers, followed by molecular dynamics simulations of the complexes and evaluation of binding free energies with the linear interaction energy method. The calculations yield a remarkably good agreement with experimental binding affinities and allow for a rationalization of three-dimensional structure-activity relationships in terms of a number of key interactions. Two main interaction regions of the channel are thus identified with implications for further mutagenesis experiments and design of new compounds.

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Year:  2011        PMID: 21657256     DOI: 10.1021/bi200173n

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  10 in total

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

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5.  Refinement of a cryo-EM structure of hERG: Bridging structure and function.

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6.  A molecular switch driving inactivation in the cardiac K+ channel HERG.

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Journal:  PLoS One       Date:  2012-07-24       Impact factor: 3.240

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8.  Ionic channels as targets for drug design: a review on computational methods.

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Journal:  Pharmaceutics       Date:  2011-12-09       Impact factor: 6.321

9.  Calculation of absolute binding free energies between the hERG channel and structurally diverse drugs.

Authors:  Tatsuki Negami; Mitsugu Araki; Yasushi Okuno; Tohru Terada
Journal:  Sci Rep       Date:  2019-11-12       Impact factor: 4.379

10.  New potential binding determinant for hERG channel inhibitors.

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  10 in total

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