Do Bi-Stable Poisson-Nernst-Planck Models Describe Single Channel Gating?
Nir Gavish, Chun Liu, Bob Eisenberg

TL;DR
This study investigates whether bi-stable Poisson-Nernst-Planck models can explain the gating behavior of single ion channels, finding that while they exhibit gating-like switching, they differ from biological gating and noise inhibits switching.
Contribution
The paper tests the hypothesis that noise-induced transitions in bi-stable PNP models can explain ion channel gating, highlighting limitations of current models in replicating biological gating dynamics.
Findings
PNP models show gating-like behavior but differ from biological gating.
Noise inhibits switching in the studied PNP system.
Additional modeling beyond over-damped Nernst-Planck dynamics is needed for accurate gating simulation.
Abstract
Experiments measuring currents through single protein channels show unstable currents, a phenomena called the gating of a single channel. Channels switch between an 'open' state with a well defined single amplitude of current and 'closed' states with nearly zero current. The existing mean-field theory of ion channels focuses almost solely on the open state. The physical modeling of the dynamical features of ion channels is still in its infancy, and does not describe the transitions between open and closed states, nor the distribution of the duration times of open states. One hypothesis is that gating corresponds to noise-induced fast transitions between multiple steady (equilibrium) states of the underlying system. In this work, we aim to test this hypothesis. Particularly, our study focuses on the (high order) steric Poisson-Nernst-Planck-Cahn-Hilliard model since it has been…
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