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Related Experiment Video

Updated: May 19, 2026

Assembling Molecular Shuttles Powered by Reversibly Attached Kinesins

Assembling Molecular Shuttles Powered by Reversibly Attached Kinesins

Published on: January 26, 2019

Nonequilibrium Theory for Molecular Machine Design.

Ying-Jen Yang¹, Ken A Dill^1,2

¹Laufer Center of Physical and Quantitative Biology, Stony Brook University.

|May 18, 2026

Summary

This summary is machine-generated.

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.

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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.