Theoretical modelling of liquid-liquid phase separation: from particle-based to field-based simulation.
1Hefei National Laboratory for Physical Sciences at the Microscale & Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China.
Biophysics Reports
|June 8, 2023
Summary
This study presents a protocol for understanding liquid-liquid phase separation (LLPS) using theoretical modeling. It details particle-based and field-based approaches to analyze LLPS mechanisms and properties in biological systems.
Area of Science:
- Biophysics
- Cell Biology
- Theoretical Physics
Background:
- Liquid-liquid phase separation (LLPS) is crucial for forming membraneless organelles (MLOs) in cells.
- Experimental investigation of LLPS mechanisms is often challenging.
- Theoretical modeling is essential for a comprehensive understanding of LLPS.
Purpose of the Study:
- To provide a protocol for understanding LLPS from fundamental physics to detailed modeling.
- To guide the selection and interpretation of theoretical approaches for LLPS.
- To bridge experimental limitations with theoretical insights.
Main Methods:
- Particle-based simulations: coarse-grained model development, interaction identification, and phase diagram determination.
- Field-based theories: density profiling for phase diagrams and dynamic property analysis via density field evolution.
- Integration of nonequilibrium factors like chemical reactions into models.
Main Results:
- A comprehensive physical framework for selecting and interpreting theoretical models of LLPS.
- Detailed procedures for coarse-grained simulations to obtain phase diagrams and properties.
- Methodologies for field-based theories to analyze LLPS at larger scales and incorporate complex factors.
Conclusions:
- Theoretical modeling, encompassing both particle-based and field-based approaches, is indispensable for unraveling LLPS mechanisms.
- The presented protocol offers a systematic approach to studying LLPS, from fundamental principles to advanced modeling.
- This work facilitates a deeper understanding of LLPS in biological systems and its associated dynamic properties.
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