Thermodynamic Uncertainty Relation for Biomolecular Processes
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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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Keywords
- Observable
- Statistical physics
- Computer science
- Molecular motor
- Markov process
- Biological system
- Thermodynamics
- Physics
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