Thermodynamic uncertainty relation for biomolecular processes.

By A. C. Barato, U. Seifert. Physical Review Letters, 2015

820 citations recorded by the source corpus.

Biomolecular systems like molecular motors or pumps, transcription and translation machinery, and other enzymatic reactions, can be described as Markov processes on a suitable network. We show quite generally that, in a steady state, the dispersion of observables, like the number of consumed or produced molecules or the number of steps of a motor, is constrained by the thermodynamic cost of generating it. An uncertainty ε requires at least a cost of 2k(B)T/ε2 independent of the time required to generate the output.

Subfields: Molecular Biology, Physical and Theoretical Chemistry, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/4c8ffdfa0be4c0e1f5254827f786f6105694ca40

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Citations in the corpus

Dissipation Bounds All Steady-State Current Fluctuations. (2015, background): “—Recently, we became aware of the preprint by Pietzonka, Barato, and Seifert [40], which conjectures Eq.”
Current fluctuations and transport efficiency for general Langevin systems (2017, background): “[20] and later generalized to finite-time fluctuations of the current [21, 22].”
Universal bound on the efficiency of molecular motors (2016, background): “For the simple paradigmatic case of a driven system moving with time t along a coordinate x, the uncertainty relation reads [19]”
Stochastic Time Evolution, Information Geometry, and the Cramér-Rao Bound (2018, background): “For such a non-equilibrium steady state, the thermodynamic uncertainty relation [24, 25] states that the rate of change of the currents is bounded from above by the rate of entropy production, ∣∣dt〈q〉st t ∣∣ ≤√Dq√σtot,st, (12)”
Thermodynamic Unification of Optimal Transport: Thermodynamic Uncertainty Relation, Minimum Dissipation, and Thermodynamic Speed Limits (2022, background): “The conventional thermodynamic uncertainty relation [12, 13] sets an upper bound on the precision in terms of the total entropy production, given by the following inequality:”
Stochastic thermodynamics: From principles to the cost of precision (2017, methodology): “This relation was formulated as a conjecture in [23] based on analytical results for the linear response regime of multicyclic networks and for unicyclic networks with their only one independent current.”