Microscopic and stochastic simulations of chemically active droplets

Area of Science:

• Biophysics
• Chemical Physics
• Cell Biology

Background:

• Biomolecular condensates are essential for cellular organization.
• Their formation involves liquid-liquid phase separation far from equilibrium.
• Existing models of active droplets are continuous and deterministic.

Purpose of the Study:

• To establish the relationship between microscopic parameters and active droplet properties.
• To investigate polydispersity, shape anisotropy, and lifetime of active droplets.
• To explore the dynamics of active emulsions using a microscopic, stochastic approach.

Main Methods:

• Utilized Brownian dynamics simulations.
• Explicitly represented building blocks as interacting particles.
• Simulated attractive/repulsive interactions based on droplet-forming state.

Main Results:

• Revealed how controlled deviation from equilibrium influences droplet fluctuations.
• Demonstrated the link between microscopic parameters and macroscopic droplet behavior.
• Provided a stochastic model for active droplet formation and dynamics.

Conclusions:

• Microscopic and stochastic simulations offer new insights into active droplet behavior.
• Controlled non-equilibrium conditions are key to understanding active emulsion dynamics.
• This work bridges the gap between theoretical models and experimental observations of biomolecular condensates.