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Large deviation theory for the kinetics and energetics of turnover of enzyme catalysis in a chemiostatic flow

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TLDR
Using some special properties of the Legendre transformation, here, a relation between the fluctuations of fluxes and dissipation rates is provided, and among them, the fluctuation of the turnover rate is routinely estimated but the fluctuations in the dissipation rate is yet to be characterized for small systems.
Abstract
In the framework of large deviation theory, we have characterized nonequilibrium turnover statistics of enzyme catalysis in a chemiostatic flow with externally controllable parameters, like substrate injection rate and mechanical force. In the kinetics of the process, we have shown the fluctuation theorems in terms of the symmetry of the scaled cumulant generating function (SCGF) in the transient and steady state regime and a similar symmetry rule is reflected in a large deviation rate function (LDRF) as a property of the dissipation rate through boundaries. Large deviation theory also gives the thermodynamic force of a nonequilibrium steady state, as is usually recorded experimentally by a single molecule technique, which plays a key role responsible for the dynamical symmetry of the SCGF and LDRF. Using some special properties of the Legendre transformation, here, we have provided a relation between the fluctuations of fluxes and dissipation rates, and among them, the fluctuation of the turnover rate is routinely estimated but the fluctuation in the dissipation rate is yet to be characterized for small systems. Such an enzymatic reaction flow system can be a very good testing ground to systematically understand the rare events from the large deviation theory which is beyond fluctuation theorem and central limit theorem.

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Large deviations of Markov chains with multiple time-scales

TL;DR: In this paper, a general approach to proving a large deviation principle in path space for such multi-scale Markov processes is presented, motivated by models arising in systems biology, and applied these large deviation results to general chemical reaction systems which exhibit multiple time-scales.
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Extension of Onsager's reciprocity to large fields and the chaotic hypothesis

TL;DR: It is shown that the ``fluctuation theorem,'' a consequence of the chaotic hypothesis of G. Gallavotti and E. G. Cohen, can be interpreted as extending to arbitrary forcing fields Green-Kubo's formulas, hence Onsager's reciprocity, in a class of reversible nonequilibrium statistical mechanical systems.
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Quantifying Information without Entropy: Identifying Intermittent Disturbances in Dynamical Systems.

TL;DR: The IIF is compared to both the Permutation entropy and Shannon entropy to demonstrate its entropy-like relationship with system state and its degree of sensitivity to perturbations in a driving signal.
References
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Journal ArticleDOI

Nonequilibrium Equality for Free Energy Differences

TL;DR: In this paper, an expression for the equilibrium free energy difference between two configurations of a system, in terms of an ensemble of finite-time measurements of the work performed in parametrically switching from one configuration to the other, is derived.
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Models for the specific adhesion of cells to cells

TL;DR: The force required to separate two cells is shown to be greater than the expected electrical forces between cells, and of the same order of magnitude as the forces required to pull gangliosides and perhaps some integral membrane proteins out of the cell membrane.
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Reversible Unfolding of Individual Titin Immunoglobulin Domains by AFM

TL;DR: Single-molecule atomic force microscopy was used to investigate the mechanical properties of titin, the giant sarcomeric protein of striated muscle, and refolding of immunoglobulin domains was observed.
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Direct observation of kinesin stepping by optical trapping interferometry

TL;DR: It is found that kinesin moves with 8-nm steps, similar to biological motors that move with regular steps.
Journal ArticleDOI

Dynamical Ensembles in Nonequilibrium Statistical Mechanics.

TL;DR: This presents the first test of the Ruelle principle on a many particle system far from equilibrium, and a specific prediction, obtained without the need to construct explicitly the SRB itself, is shown to be in agreement with a recent computer experiment on a strongly sheared fluid.
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