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08:04
Assembling Molecular Shuttles Powered by Reversibly Attached Kinesins
Published on: January 26, 2019
Nonequilibrium Theory for Molecular Machine Design
Ying-Jen Yang1, Ken A Dill1,2
1Laufer Center of Physical and Quantitative Biology, Stony Brook University.
Arxiv
|May 18, 2026
Summary
This study introduces CFT Design, a new framework for optimizing biomolecular machines. It addresses limitations of previous models by incorporating cost-benefit tradeoffs for improved design and function.
Area of Science:
- Biophysics
- Biochemical Engineering
- Systems Biology
Background:
- Master Equations model biomolecular machine dynamics but lack design optimization capabilities.
- Existing models fail to account for cost-benefit tradeoffs and small-system misflows.
Purpose of the Study:
- To develop a novel framework, CFT Design, for optimizing nonequilibrium flow networks in biomolecular systems.
- To enhance the design, optimization, and evolution of molecular machines.
Main Methods:
- Developed CFT Design based on Caliber Force Theory (CFT).
- Applied CFT Design to molecular motor speed enhancement via traffic control.
- Utilized CFT Design for optimizing speed, energy, and accuracy in kinetic proofreaders.
- Employed CFT Design for creating improved enzyme inhibitors.
Main Results:
- CFT Design provides a general framework for optimizing nonequilibrium flow networks.
- Demonstrated successful application in designing faster molecular motors.
- Achieved optimization of speed, energy, and accuracy in kinetic proofreaders.
- Enabled the design of enhanced enzyme inhibitors.
Conclusions:
- CFT Design offers a comprehensive approach to overcoming limitations in biomolecular network modeling.
- This framework facilitates the rational design and optimization of molecular machines for specific functions.
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