Theory and simulation of multiphase coexistence in biomolecular mixtures

Abstract

Biomolecular condensates constitute a newly recognized form of spatial organization in living cells. Although many condensates are believed to form as a result of phase separation, the physicochemical properties that determine the phase behavior of heterogeneous biomolecular mixtures are only beginning to be explored. Theory and simulation provide invaluable tools for probing the relationship between molecular determinants, such as protein and RNA sequences, and the emergence of phase-separated condensates in such complex environments. This review covers recent advances in the prediction and computational design of biomolecular mixtures that phase-separate into many coexisting phases. First, we review efforts to understand the phase behavior of mixtures with hundreds or thousands of species using theoretical models and statistical approaches. We then describe progress in developing analytical theories and coarse-grained simulation models to predict multiphase condensates with the molecular detail required to make contact with biophysical experiments. We conclude by summarizing the challenges ahead for modeling the inhomogeneous spatial organization of biomolecular mixtures in living cells.

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Cited by in corpus (8)

• Active phase separation: new phenomenology from non-equilibrium physics
• Active learning of the thermodynamics-dynamics tradeoff in protein condensates
• Differential Effects of Sequence-Local versus Nonlocal Charge Patterns on Phase Separation and Conformational Dimensions of Polyampholytes as Model Intrinsically Disordered Proteins
• Emergence of multiphase condensates from a limited set of chemical building blocks
• Reaction-driven Diffusiophoresis of Liquid Condensates: Mechanisms for Intra-cellular Organization
• Predicting the morphology of multiphase biomolecular condensates from protein interaction networks
• Phase separation in complex mixtures with many components: analytical expressions for spinodal manifolds
• Predicting Heteropolymer Phase Separation Using Two-Chain Contact Maps