Universal thermodynamic bounds on the Fano factor of discriminatory networks with unidirectional transitions

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Universal thermodynamic bounds on the Fano factor of discriminatory networks with unidirectional transitions. / Berx, Jonas; Proesmans, Karel Josef A.

I: Europhysics Letters, Bind 145, 51001, 15.03.2024.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Berx, J & Proesmans, KJA 2024, 'Universal thermodynamic bounds on the Fano factor of discriminatory networks with unidirectional transitions', Europhysics Letters, bind 145, 51001. https://doi.org/10.1209/0295-5075/ad2d14

APA

Berx, J., & Proesmans, K. J. A. (2024). Universal thermodynamic bounds on the Fano factor of discriminatory networks with unidirectional transitions. Europhysics Letters, 145, [51001]. https://doi.org/10.1209/0295-5075/ad2d14

Vancouver

Berx J, Proesmans KJA. Universal thermodynamic bounds on the Fano factor of discriminatory networks with unidirectional transitions. Europhysics Letters. 2024 mar. 15;145. 51001. https://doi.org/10.1209/0295-5075/ad2d14

Author

Berx, Jonas ; Proesmans, Karel Josef A. / Universal thermodynamic bounds on the Fano factor of discriminatory networks with unidirectional transitions. I: Europhysics Letters. 2024 ; Bind 145.

Bibtex

@article{15c8cea699c44da5a6ef20c6048bae9e,
title = "Universal thermodynamic bounds on the Fano factor of discriminatory networks with unidirectional transitions",
abstract = "We derive a universal lower bound on the Fano factors of general biochemical discriminatory networks involving irreversible catalysis steps, based on the thermodynamic uncertainty relation, and compare it to a numerically exact Pareto optimal front. This bound is completely general, involving only the reversible entropy production per product formed and the error fraction of the system. We then show that by judiciously choosing which transitions to include in the reversible entropy production, one can derive a family of bounds that can be fine-tuned to include physical observables at hand. Lastly, we test our bound by considering three discriminatory schemes: a multi-stage Michaelis-Menten network, a Michaelis-Menten network with correlations between subsequent products, and a multi-stage kinetic proofreading network, where for the latter application the bound is altered to include the hydrolytic cost of the proofreading steps. We find that our bound is remarkably tight.",
author = "Jonas Berx and Proesmans, {Karel Josef A}",
year = "2024",
month = mar,
day = "15",
doi = "10.1209/0295-5075/ad2d14",
language = "English",
volume = "145",
journal = "Europhysics Letters",
issn = "1286-4854",
publisher = "Institute of Physics",

}

RIS

TY - JOUR

T1 - Universal thermodynamic bounds on the Fano factor of discriminatory networks with unidirectional transitions

AU - Berx, Jonas

AU - Proesmans, Karel Josef A

PY - 2024/3/15

Y1 - 2024/3/15

N2 - We derive a universal lower bound on the Fano factors of general biochemical discriminatory networks involving irreversible catalysis steps, based on the thermodynamic uncertainty relation, and compare it to a numerically exact Pareto optimal front. This bound is completely general, involving only the reversible entropy production per product formed and the error fraction of the system. We then show that by judiciously choosing which transitions to include in the reversible entropy production, one can derive a family of bounds that can be fine-tuned to include physical observables at hand. Lastly, we test our bound by considering three discriminatory schemes: a multi-stage Michaelis-Menten network, a Michaelis-Menten network with correlations between subsequent products, and a multi-stage kinetic proofreading network, where for the latter application the bound is altered to include the hydrolytic cost of the proofreading steps. We find that our bound is remarkably tight.

AB - We derive a universal lower bound on the Fano factors of general biochemical discriminatory networks involving irreversible catalysis steps, based on the thermodynamic uncertainty relation, and compare it to a numerically exact Pareto optimal front. This bound is completely general, involving only the reversible entropy production per product formed and the error fraction of the system. We then show that by judiciously choosing which transitions to include in the reversible entropy production, one can derive a family of bounds that can be fine-tuned to include physical observables at hand. Lastly, we test our bound by considering three discriminatory schemes: a multi-stage Michaelis-Menten network, a Michaelis-Menten network with correlations between subsequent products, and a multi-stage kinetic proofreading network, where for the latter application the bound is altered to include the hydrolytic cost of the proofreading steps. We find that our bound is remarkably tight.

U2 - 10.1209/0295-5075/ad2d14

DO - 10.1209/0295-5075/ad2d14

M3 - Journal article

VL - 145

JO - Europhysics Letters

JF - Europhysics Letters

SN - 1286-4854

M1 - 51001

ER -

ID: 387374615