Authors: Ada Cottam Allen, Mikhael T Semaan
Mentors: Mikhael T Semaan
Insitution: University of Utah
Regularly buoyed from thermodynamic equilibrium by complex and fluctuating environments, living systems must continually respond and adapt to external stimuli. Recent tools from stochastic thermodynamics place concrete energetic and entropic bounds on these processes, for systems arbitrarily far from equilibrium both in and out of steady-state conditions, and thus reveal mechanisms by which these systems absorb and dissipate energy to function. Here, we leverage these tools to simulate and calculate the thermodynamic signatures of several models of sodium and potassium ion channels---channels crucial to propagating action potentials in mammalian neurons---as driven by biologically-realistic action potential spiking protocols. Thus uncovering their detailed energetic responses to such complex environmental conditions, these results enable detailed comparison between the thermodynamic functionality of each channel type with driving one would expect in-vivo. When applied to competing models of the same channel, these tools also provide additional criteria for model selection; to this end, we close by calculating expected ionic currents, directly facilitating comparison with dynamically-driven patch-clamp experiments.