Literature DB >> 23259741

An automated docking protocol for hERG channel blockers.

Giovanni Paolo Di Martino1, Matteo Masetti, Luisa Ceccarini, Andrea Cavalli, Maurizio Recanatini.   

Abstract

A docking protocol aimed at obtaining a consistent qualitative and quantitative picture of binding for a series of hERG channel blockers is presented. To overcome the limitations experienced by standard procedures when docking blockers at hERG binding site, we designed a strategy that explicitly takes into account the conformations of the channel, their possible intrinsic symmetry, and the role played by the configurational entropy of ligands. The protocol was developed on a series of congeneric sertindole derivatives, allowing us to satisfactorily explain the structure-activity relationships for this set of blockers. In addition, we show that the performance of structure-based models relying on multiple-receptor conformations statistically increases when the protein conformations are chosen in such a way as to capture relevant structural features at the binding site. The protocol was then successfully applied to a series of structurally unrelated blockers.

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Year:  2013        PMID: 23259741     DOI: 10.1021/ci300326d

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  4 in total

1.  Astemizole Derivatives as Fluorescent Probes for hERG Potassium Channel Imaging.

Authors:  Beilei Wang; Zhenzhen Liu; Zhao Ma; Minyong Li; Lupei Du
Journal:  ACS Med Chem Lett       Date:  2016-01-20       Impact factor: 4.345

2.  Targeting the Protein Tunnels of the Urease Accessory Complex: A Theoretical Investigation.

Authors:  Matteo Masetti; Federico Falchi; Dario Gioia; Maurizio Recanatini; Stefano Ciurli; Francesco Musiani
Journal:  Molecules       Date:  2020-06-24       Impact factor: 4.411

3.  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

Review 4.  Computational methods for drug design and discovery: focus on China.

Authors:  Mingyue Zheng; Xian Liu; Yuan Xu; Honglin Li; Cheng Luo; Hualiang Jiang
Journal:  Trends Pharmacol Sci       Date:  2013-09-11       Impact factor: 14.819

  4 in total

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