Studying protein assembly with reversible Brownian dynamics of patchy particles

Area of Science:

• Biophysics
• Computational Biology
• Biochemistry

Background:

• Protein complex assembly is vital for biological functions, with both spatial structure and reversibility playing key roles.
• Understanding the dynamics of reversible protein assembly is essential for deciphering cellular processes.

Purpose of the Study:

• To develop a computational approach for simulating Brownian dynamics of patchy particles with anisotropic assemblies and reversible reactions.
• To accurately model the stochastic association and dissociation of particles based on their spatial positions.
• To ensure detailed balance for patchy particles in reversible assembly simulations.

Main Methods:

• Utilized Brownian dynamics simulations for patchy particles with anisotropic assemblies.
• Incorporated fully reversible reaction kinetics, allowing particles to associate and dissociate stochastically.
• Developed a scheme to ensure detailed balance for patchy particles during simulations.
• On-the-fly evaluation of translational and rotational diffusive properties of protein complexes.

Main Results:

• Demonstrated that macroscopic reaction rates can be derived from microscopic rates.
• Successfully simulated the assembly of a pentameric ring structure.
• Achieved excellent agreement between simulation results and macroscopic kinetic descriptions without adjustable parameters.

Conclusions:

• The developed computational approach accurately accounts for both diffusive and reactive processes in protein assembly.
• This method provides a robust tool for studying the dynamics of reversible protein complex formation.
• The findings have implications for understanding the assembly of various biological structures, from viral shells to cytoskeletal components.