A computational study of liposome logic: towards cellular computing from the bottom up.

Area of Science:

• Biomolecular Engineering
• Computational Biology
• Synthetic Biology

Background:

• Top-down synthetic biology often uses genome reengineering for logic circuits.
• Bottom-up approaches for cellular computing are less explored.
• Liposomes offer a platform for encapsulating computational chemical processes.

Purpose of the Study:

• To propose a novel bottom-up approach for cellular computing using liposomes (liposome logic).
• To develop and demonstrate tools for specifying, modeling, and analyzing liposome logic circuits.
• To explore potential laboratory implementations for bottom-up membrane computing.

Main Methods:

• Utilizing P systems for specifying computational logic within proto-membranes.
• Employing a multiscaled simulation pipeline with dissipative particle dynamics (DPD) and Gillespie's stochastic simulation algorithm (SSA).
• Applying model checking for analysis of liposome logic designs and formal specifications.

Main Results:

• Demonstrated liposome logic designs ranging from basic gates (NOT, NAND) to complex circuits (SR-Latches, D Flip-Flops, 3-bit ripple counters).
• Successfully integrated formal specifications, DPD, SSA, and model checking for protocell computation modeling.
• Proposed potential chemical routes for laboratory realization of the simulated liposome logic.

Conclusions:

• Liposome logic provides a viable bottom-up strategy for creating computational functions within artificial cells.
• The developed tools facilitate the design and analysis of complex logic circuits in protocells.
• This work lays the foundation for realistic physicochemical implementations of bottom-up membrane computing.