Discrete-time signal processing with DNA.

Area of Science:

• Biochemistry
• Molecular Biology
• Computational Biology

Background:

• Discrete-time signal processing is crucial in many fields.
• Implementing complex computations using molecular reactions remains a significant challenge.
• Existing molecular computing approaches often lack robustness or require precise reaction rate control.

Purpose of the Study:

• To develop a methodology for implementing discrete-time signal processing operations using molecular reactions.
• To demonstrate the feasibility of molecular filters and transforms.
• To explore robust computation independent of precise reaction rates.

Main Methods:

• Designing molecular reaction networks to perform signal processing functions.
• Implementing two approaches: clock-synchronized (using chemical oscillations) and self-timed (asynchronous).
• Translating abstract molecular reactions into DNA strand displacement reactions and validating through mass-action simulations.

Main Results:

• Successful synthesis of molecular moving-average filters, biquad filters, and Fast Fourier Transforms (FFTs).
• Demonstrated robustness of molecular computations, independent of reaction rates within coarse categories.
• Validated computational accuracy through DNA kinetics simulations.

Conclusions:

• Molecular reactions can be reliably used to implement discrete-time signal processing operations.
• This proof-of-concept opens avenues for molecular computing in biochemical sensing and targeted drug delivery.
• The developed methodology offers a robust and scalable approach for future molecular signal processing applications.