Enhanced condensate fluidity in modified patchy particle models.

Area of Science:

• Biophysics
• Computational Biology
• Soft Matter Physics

Background:

• Biomolecular condensates form through liquid-liquid phase separation (LLPS) of proteins and nucleic acids.
• Coarse-grained models, particularly patchy particle models, are crucial for simulating condensate behavior.
• Classical patchy particle models often exhibit slow dynamics, hindering the study of fluid condensates.

Purpose of the Study:

• To develop and evaluate modified patchy particle models for accelerated simulation of biomolecular condensates.
• To investigate variants that enhance simulation speed while preserving equilibrium properties.
• To enable the study of larger and more complex condensate systems.

Main Methods:

• Simulation of modified patchy particle models with flexible patches and weak isotropic core attractions.
• Comparison of dynamics, phase behavior, and local structure against classical patchy particle models.
• Analysis of system relaxation times and ability to form fluid condensates.

Main Results:

• Modified models significantly accelerate system dynamics compared to classical patchy particle models.
• Key equilibrium characteristics, including phase behavior and local structure, are preserved.
• The enhanced dynamics allow for the simulation of larger systems with reduced computational cost.

Conclusions:

• Modified patchy particle models offer a versatile and efficient tool for simulating biomolecular condensates.
• These models overcome the limitations of slow dynamics in classical approaches.
• They facilitate deeper insights into the formation and dynamics of fluid biomolecular condensates.