Nanoscale programming of cellular and physiological phenotypes: inorganic meets organic programming.

Area of Science:

• Biotechnology
• Synthetic Biology
• Molecular Computing

Background:

• Recent advances in protein design offer a new paradigm for molecular programming.
• Molecules can function as operands and their conformational states as logic gates.
• This enables the development of nanoscale computing agents (NCAs).

Purpose of the Study:

• To introduce and discuss the emerging field of biological computing using NCAs.
• To explore the potential of NCAs in revolutionizing biological studies and therapeutics.
• To outline the challenges and future directions for NCA development.

Main Methods:

• Utilizing protein design to create molecules functioning as logic gates.
• Developing nanoscale computing agents (NCAs) for molecular computation.
• Leveraging natural evolutionary processes for algorithmic development within NCAs.

Main Results:

• NCAs can be programmed using a "nanoscale programming language" with molecules as operands.
• These agents can execute functional programs by responding to inputs and generating outputs.
• The potential for evolved algorithms through natural evolutionary processes is highlighted.

Conclusions:

• NCAs represent a significant leap in programming living cells and biological systems.
• This technology promises deeper understanding of human biology and disease.
• NCAs offer a pathway to in situ precision therapeutics and broad biotechnological applications beyond traditional biology.