'KMC-TDGL'-a coarse-grained methodology for simulating interfacial dynamics in complex fluids: application to...

Area of Science:

• Computational biology
• Materials science
• Biophysics

Background:

• Complex fluids like biological membranes involve intricate dynamics of nanoscale inclusions.
• Membrane-associating and membrane-bound proteins significantly influence these dynamics.
• Existing simulation methods often struggle to capture both membrane and protein behaviors cohesively.

Purpose of the Study:

• To introduce a novel multiscale simulation algorithm for describing equilibrium and dynamic processes in biological membranes.
• To integrate continuum and discrete models for a unified simulation approach.
• To provide a computational tool for studying protein-mediated membrane dynamics.

Main Methods:

• Developed a multiscale simulation algorithm termed KMC-TDGL.
• Integrated a field theoretic (continuum) description using the time-dependent Ginzburg-Landau equation for membrane dynamics.
• Incorporated a random walk on a discretized lattice for protein diffusion dynamics.

Main Results:

• The KMC-TDGL method successfully integrates distinct descriptions of membrane and protein dynamics.
• Demonstrated the algorithm's applicability for simulating complex fluid behavior in biological membranes.
• Achieved a unified description of protein-mediated membrane dynamics.

Conclusions:

• The KMC-TDGL method offers a powerful new approach for simulating biological membrane systems.
• This integrated strategy provides a more holistic understanding of protein-membrane interactions.
• The developed algorithm can be applied to various complex fluids with nanoscale inclusions.