Motif-pattern dependence of biomolecular phase separation driven by specific interactions.

TitleMotif-pattern dependence of biomolecular phase separation driven by specific interactions.
Publication TypeJournal Article
Year of Publication2021
AuthorsWeiner, BG, Pyo, AGT, Meir, Y, Wingreen, NS
JournalPLoS Comput Biol
Volume17
Issue12
Paginatione1009748
Date Published2021 12
ISSN1553-7358
KeywordsAnimals, Biophysical Phenomena, Computational Biology, Entropy, Eukaryotic Cells, Hydrophobic and Hydrophilic Interactions, Intracellular Space, Models, Biological, Molecular Conformation, Monte Carlo Method, Polymers, Protein Binding, Viscosity
Abstract

<p>Eukaryotic cells partition a wide variety of important materials and processes into biomolecular condensates-phase-separated droplets that lack a membrane. In addition to nonspecific electrostatic or hydrophobic interactions, phase separation also depends on specific binding motifs that link together constituent molecules. Nevertheless, few rules have been established for how these ubiquitous specific, saturating, motif-motif interactions drive phase separation. By integrating Monte Carlo simulations of lattice-polymers with mean-field theory, we show that the sequence of heterotypic binding motifs strongly affects a polymer's ability to phase separate, influencing both phase boundaries and condensate properties (e.g. viscosity and polymer diffusion). We find that sequences with large blocks of single motifs typically form more inter-polymer bonds, which promotes phase separation. Notably, the sequence of binding motifs influences phase separation primarily by determining the conformational entropy of self-bonding by single polymers. This contrasts with systems where the molecular architecture primarily affects the energy of the dense phase, providing a new entropy-based mechanism for the biological control of phase separation.</p>

DOI10.1371/journal.pcbi.1009748
Alternate JournalPLoS Comput Biol
PubMed ID34965250
PubMed Central IDPMC8751999
Grant ListR01 GM140032 / GM / NIGMS NIH HHS / United States