ArticleBiophysical journal2018
The Structural Basis of IKs Ion-Channel Activation: Mechanistic Insights from Molecular Simulations.
Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 26 citations in OpenAlex.
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Evaluating sequential and allosteric activation models in IKs channels with mutated voltage sensors.The Journal of general physiology · 2024Article
- Enhancing the interpretation of genetic observations in KCNQ1 in unselected populations: relevance to secondary findings.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- Emerging methods to model cardiac ion channel and myocyte electrophysiology.Biophysics reviews · 2023Review
- Models of the cardiac L-type calcium current: A quantitative review.WIREs mechanisms of disease · 2023Review
- Modulation of the IBBA advances · 2023Article
- Computational models of atrial fibrillation: achievements, challenges, and perspectives for improving clinical care.Cardiovascular research · 2021Review
- Machine Learning in Arrhythmia and Electrophysiology.Circulation research · 2021Review
- Modeling the Interactions Between Sodium Channels Provides Insight Into the Negative Dominance of Certain Channel Mutations.Frontiers in physiology · 2020Article
- Gating and Regulation of KCNQ1 and KCNQ1 + KCNE1 Channel Complexes.Frontiers in physiology · 2020Review
- ML277 specifically enhances the fully activated open state of KCNQ1 by modulating VSD-pore coupling.eLife · 2019Article
- Article
- Effects of β-subunit on gating of a potassium ion channel: Molecular simulations of cardiac IKs activation.Journal of molecular and cellular cardiology · 2018Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
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 timescales. 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.