First universal pharmacophore model for hERG1 K+ channel activators: acthER

被引:7
作者
Durdagi, Serdar [1 ]
Erol, Ismail [1 ,2 ]
Salmas, Ramin Ekhteiari [1 ]
Patterson, Matthew [3 ]
Noskov, Sergei Y. [3 ]
机构
[1] Bahcesehir Univ, Sch Med, Computat Biol & Mol Simulat Lab, Dept Biophys, Istanbul, Turkey
[2] Gebze Tech Univ, Dept Chem, Kocaeli, Turkey
[3] Univ Calgary, Dept Biol Sci, Ctr Mol Simulat, Calgary, AB, Canada
关键词
hERG1 K channel; Pharmacophore modeling; 3D-QSAR; Molecular docking; Molecular Dynamics (MD) Simulations; Structure-based Pharmacophore Modeling; POTASSIUM CHANNEL; GENE HERG; BINDING-SITES; PORE HELIX; MECHANISM; BLOCKADE; NS1643; MUTATIONS; DOCKING; GLIDE;
D O I
10.1016/j.jmgm.2017.03.020
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The intra-cavitary drug blockade of hERG1 channel has been extensively studied, both experimentally and theoretically. Structurally diverse ligands inadvertently block the hERG1 ICE channel currents lead to drug induced Long QT Syndrome (LQTS). Accordingly, designing either hERG1 channel openers or current activators, with the potential to target other binding pockets of the channel, has been introduced as a viable approach in modern anti-arrhythmia drug development. However, reports and investigations on the molecular mechanisms underlying activators binding to the hERG1 channel remain sparse and the overall molecular design principles are largely unknown. Most of the hERG1 activators were discovered during mandatory screening for hERG1 blockade. To fill this apparent deficit, the first universal pharmacophore model for hERG1 K+ channel activators was developed using PHASE. 3D structures of 18 hERG1 K+ channel activators and their corresponding measured binding affinity values were used in the development of pharmacophore models. These compounds spanned a range of structurally different chemotypes with moderate variation in binding affinity. A five sites AAHRR (A, hydrogen-bond accepting, H, hydrophobic, R, aromatic) pharmacophore model has shown reasonable high statistical results compared to the other developed more than 1000 hypotheses. This model was used to construct steric and electrostatic contour maps. The predictive power of the model was tested with 3 external test set compounds as true unknowns. Finally, the pharmacophore model was combined with the previously developed receptor-based model of hERG1 K+ channel to develop and screen novel activators. The results are quite striking and it suggests a greater future role for pharmacophore modeling and virtual drug screening simulations in deciphering complex patterns of molecular mechanisms of hERG1 channel openers at the target sites. The developed model is available upon request and it may serve as basis for the synthesis of novel therapeutic hERG1 activators. (C) 2017 Published by Elsevier Inc.
引用
收藏
页码:153 / 170
页数:18
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