The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Thermodynamic Uncertainty Relation for Biomolecular Processes
Open accessAbstract
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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Cites
Stochastic thermodynamics, fluctuation theorems and molecular machines
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Self-citationStochastic Processes in Physics and Chemistry
Cercignani, C. (2005) · Encyclopedia of Condensed Matter Physics · doi:10.1016/b0-12-369401-9/00623-9 · Cited by 2,139
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A Gallavotti–Cohen-Type Symmetry in the Large Deviation Functional for Stochastic Dynamics
Lebowitz, J. L., & Spohn, H. (1999) · Journal of Statistical Physics · doi:10.1023/a:1004589714161 · Cited by 1,417
Recent Advances in Optical Tweezers
Moffitt, J. R., Chemla, Y. R., Smith, S. B., & Bustamante, C. (2008) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.043007.090225 · Cited by 1,084
Molecular Motors: A Theorist's Perspective
Kolomeisky, A. B., & Fisher, M. E. (2007) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.58.032806.104532 · Cited by 575
High-Resolution, Single-Molecule Measurements of Biomolecular Motion
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The energy–speed–accuracy trade-off in sensory adaptation
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Physical limits to biochemical signaling
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Velocity and diffusion constant of a periodic one-dimensional hopping model
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Irreversible entropy production: From classical to quantum
Landi, G. T., & Paternostro, M. (2021) · Reviews of Modern Physics · doi:10.1103/revmodphys.93.035008 · Cited by 384
Dissipative adaptation in driven self-assembly
England, J. L. (2015) · Nature Nanotechnology · doi:10.1038/nnano.2015.250 · Cited by 304
Escapement mechanisms and the conversion of disequilibria; the engines of creation
Branscomb, E., Biancalani, T., Goldenfeld, N., & Russell, M. (2017) · Physics Reports · doi:10.1016/j.physrep.2017.02.001 · Cited by 96
(2023) · doi:10.1016/j.isci.2023.108740 · Cited by 1
Metadata
- Authors
- Barato, A. C., & Seifert, U.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2015-04-15
- Volume
- 114
- Issue
- 15
- Pages
- 158101-158101
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2078695144
- Cited by
- 957
- References
- 39
- FWCI
- 23.73
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
