A wide range of higher-order structures, including dense, liquid-like assemblies, serve as key components of cellular matter. The molecular language of how protein sequences encode the formation and biophysical properties of biomolecular condensates, however, is not completely understood. Recent notion on the scale invariance of the cluster sizes below the critical concentration for phase separation suggests a universal mechanism, which can operate from oligomers to non-stoichiometric assemblies. Here, we propose a model for collective interactions in condensates, based on context-dependent variable interactions. We provide the mathematical formalism, which is capable of describing growing dynamic clusters as well as changes in their material properties. Furthermore, we discuss the consequences of the model to maximize sensitivity to the environmental signals and to increase correlation lengths.
Toward universal models for collective interactions in biomolecular condensates / Milanetti, Edoardo; Manjunatha, Karan K. H.; Ruocco, Giancarlo; Maritan, Amos; Fuxreiter, Monika. - In: BIOPHYSICS REVIEWS. - ISSN 2688-4089. - 6:1(2025), pp. 1-7. [10.1063/5.0244227]
Toward universal models for collective interactions in biomolecular condensates
Milanetti, Edoardo;Ruocco, GianCarlo;Maritan, Amos;
2025
Abstract
A wide range of higher-order structures, including dense, liquid-like assemblies, serve as key components of cellular matter. The molecular language of how protein sequences encode the formation and biophysical properties of biomolecular condensates, however, is not completely understood. Recent notion on the scale invariance of the cluster sizes below the critical concentration for phase separation suggests a universal mechanism, which can operate from oligomers to non-stoichiometric assemblies. Here, we propose a model for collective interactions in condensates, based on context-dependent variable interactions. We provide the mathematical formalism, which is capable of describing growing dynamic clusters as well as changes in their material properties. Furthermore, we discuss the consequences of the model to maximize sensitivity to the environmental signals and to increase correlation lengths.| File | Dimensione | Formato | |
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