Stochastic Thermodynamics of Multicomponent Molecular Machines
This thesis makes significant advances in the theoretically-grounded analysis of experimental biophysical data, applying existing and novel tools from stochastic thermodynamics to study multicomponent biological molecular machines. The work in this book derives fundamental limits, explores model sys...
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| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Редактирование: | 1st ed. 2025. |
| Серии: | Springer Theses, Recognizing Outstanding Ph.D. Research,
|
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-032-02204-2 |
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| 245 | 1 | 0 | |a Stochastic Thermodynamics of Multicomponent Molecular Machines |h [electronic resource] / |c by Matthew Leighton. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XVI, 157 p. 31 illus.). |b 26 illus. in color. | ||
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| 490 | 1 | |a Springer Theses, Recognizing Outstanding Ph.D. Research, |x 2190-5061 | |
| 505 | 0 | |a Introduction -- Theoretical Background -- Jensen Bound on the Entropy Production Rate for Multicomponent Stochastic Systems -- Performance Scaling and Trade-offs for Collective Motor-Driven Transport -- Dynamic and Thermodynamic Bounds for Collective Motor-Driven Transport -- Inferring Subsystem Efficiencies in Bipartite Molecular Machines -- Information Arbitrage in Bipartite Heat Engines -- Information Arbitrage in Light-Harvesting Molecular Machines -- Conclusion. | |
| 520 | |a This thesis makes significant advances in the theoretically-grounded analysis of experimental biophysical data, applying existing and novel tools from stochastic thermodynamics to study multicomponent biological molecular machines. The work in this book derives fundamental limits, explores model systems, and develops tools for inference from experimental data, all of which allow for novel analysis of molecular machines. Particular innovations reported in this thesis include: a new Jensen inequality relating subsystem entropy production to physically accessible measurements, which leads to performance bounds and Pareto frontiers for collective transport of intracellular cargo; a new approach to quantify the efficiency of coupled components in multicomponent motors, drawing upon the language of information thermodynamics; and a new theoretical understanding of symmetries between heat and information engines, with surprising implications for light-harvesting molecular machines like those responsible for photosynthesis. Ultimately, these advances lead to the identification of design principles which will help to guide future engineering of synthetic nanomachines. | ||
| 532 | 8 | |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
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| 650 | 0 | |a Thermodynamics. | |
| 650 | 0 | |a Biophysics. | |
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| 650 | 2 | 4 | |a Molecular Biophysics. |
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| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-032-02204-2 |
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