ArticleBiophysics reports2022
Theoretical modelling of liquid-liquid phase separation: from particle-based to field-based simulation.
Article in Biophysics reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Condensation of MATCAP promotes CENP-E-dependent chromosome congression in mitosis.Nature communications · 2026Article
- Controlling thermoreversibility and hole conductivity in thermoresponsive ionic biogels using phase morphology for neurohaptics.Science advances · 2026Article
- From chromosomal protein disorder to chromatin phase separation.Epigenetics & chromatin · 2026Review
- The molecular mechanism of temperature-dependent phase separation of heat shock factor 1.Nature chemical biology · 2025Article
- Synergy of a Complimentary Ionic Biogel Network for Through-Hair Neurohaptics.Research square · 2025Article
- Metastability in the mixing/demixing of two species with reciprocally concentration-dependent diffusivity.Frontiers in network physiology · 2025Article
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Authors and funding
2 authors.
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Abstract
Liquid-liquid phase separation (LLPS) has proved to be ubiquitous in living cells, forming membraneless organelles (MLOs) and dynamic condensations essential in physiological processes. However, some underlying mechanisms remain challenging to unravel experimentally, making theoretical modeling an indispensable aspect. Here we present a protocol for understanding LLPS from fundamental physics to detailed modeling procedures. The protocol involves a comprehensive physical picture on selecting suitable theoretical approaches, as well as how and what to interpret and resolve from the results. On the particle-based level, we elaborate on coarse-grained simulation procedures from building up models, identifying crucial interactions to running simulations to obtain phase diagrams and other concerned properties. We also outline field-based theories which give the system's density profile to determine phase diagrams and provide dynamic properties by studying the time evolution of density field, enabling us to characterize LLPS systems with larger time and length scales and to further include other nonequilibrium factors such as chemical reactions.
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