On discovering functions in actin filament automata

Area of Science:

• Computational Biology
• Biophysics
• Cellular Automata

Background:

• Actin filaments are crucial cytoskeletal components.
• Cellular automata offer a framework for modeling complex biological systems.
• Previous models have not fully explored actin filaments as computational devices.

Purpose of the Study:

• To simulate actin filaments as automaton networks for computational purposes.
• To investigate the potential of actin filament automata to perform Boolean functions.
• To establish a mapping between input strings and computational outputs using actin filament dynamics.

Main Methods:

• Developed two types of actin filament automata: semi-totalistic and excitable.
• Implemented a system of input/output (I/O) ports using domains within the actin filament.
• Mapped 8-bit input strings to 8-bit outputs by controlling perturbation/excitation levels in I/O domains.

Main Results:

• Demonstrated that actin filament automata can process information and generate outputs.
• Successfully mapped various configurations of 8-bit binary strings to excitation outputs.
• Uncovered a range of eight-argument Boolean functions through computational trials.

Conclusions:

• Actin filament automata exhibit computational capabilities, functioning as a novel computing substrate.
• The study establishes a proof-of-concept for bio-inspired computing using cytoskeletal elements.
• Further research can explore more complex computations and applications in biological computing.