Literature DB >> 25933341

Thermodynamic uncertainty relation for biomolecular processes.

Andre C Barato1, Udo Seifert1.   

Abstract

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.

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Year:  2015        PMID: 25933341     DOI: 10.1103/PhysRevLett.114.158101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  35 in total

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4.  A thermodynamically consistent model of finite-state machines.

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5.  Topological localization in out-of-equilibrium dissipative systems.

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Review 6.  Efficiencies of molecular motors: a comprehensible overview.

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Journal:  Biophys Rev       Date:  2020-03-13

7.  Allocating dissipation across a molecular machine cycle to maximize flux.

Authors:  Aidan I Brown; David A Sivak
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-03       Impact factor: 11.205

8.  Energetics of stochastic BCM type synaptic plasticity and storing of accurate information.

Authors:  Jan Karbowski
Journal:  J Comput Neurosci       Date:  2021-02-02       Impact factor: 1.621

9.  Constraining the complexity of promoter dynamics using fluctuations in gene expression.

Authors:  Niraj Kumar; Rahul V Kulkarni
Journal:  Phys Biol       Date:  2019-11-05       Impact factor: 2.583

10.  Energy dissipation bounds for autonomous thermodynamic cycles.

Authors:  Samuel J Bryant; Benjamin B Machta
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-04       Impact factor: 11.205

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