The Structural Basis of IKs Ion-Channel Activation: Mechanistic Insights from Molecular Simulations

被引:19
|
作者
Ramasubramanian, Smiruthi
Rudy, Yoram [1 ]
机构
[1] Washington Univ, Dept Biomed Engn, St Louis, MO 63130 USA
基金
美国国家卫生研究院;
关键词
LONG QT SYNDROME; I-KS; ELECTROSTATICS; LINKING; PROTEIN;
D O I
10.1016/j.bpj.2018.04.023
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Relating ion channel (iCh) structural dynamics to physiological function remains a challenge. Current experimental and computational techniques have limited ability to explore this relationship in atomistic detail over physiological time-scales. A framework associating iCh structure to function is necessary for elucidating normal and disease mechanisms. We formulated a modeling schema that overcomes the limitations of current methods through applications of artificial intelligence machine learning. Using this approach, we studied molecular processes that underlie human IKs voltage-mediated gating. IKs malfunction underlies many debilitating and life-threatening diseases. Molecular components of IKs that underlie its electrophysiological function include KCNQ1 (a pore-forming tetramer) and KCNE1 (an auxiliary subunit). Simulations, using the IKs structure-function model, reproduced experimentally recorded saturation of gating-charge displacement at positive membrane voltages, two-step voltage sensor (VS) movement shown by fluorescence, iCh gating statistics, and current-voltage relationship. Mechanistic insights include the following: 1) pore energy profile determines iCh subconductance; 2) the entire protein structure, not limited to the pore, contributes to pore energy and channel subconductance; 3) interactions with KCNE1 result in two distinct VS movements, causing gating-charge saturation at positive membrane voltages and current activation delay; and 4) flexible coupling between VS and pore permits pore opening at lower VS positions, resulting in sequential gating. The new modeling approach is applicable to atomistic scale studies of other proteins on timescales of physiological function.
引用
收藏
页码:2584 / 2594
页数:11
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