Computer Simulations Show That Liquid–Liquid Phase Separation Enhances Self-Assembly

Biomolecular condensates are liquid- or gel-like droplets of proteins and nucleic acids formed at least in part through liquid-liquid phase separation. Condensates enable diverse functions of cells and the pathogens that infect them, including self-assembly reactions. For example, it has been shown that many viruses form condensates within their host cells to compartmentalize capsid assembly and packaging of the viral genome. Yet, the physical principles controlling condensate-mediated self-assembly remain incompletely understood. In this article, we use coarse-grained molecular dynamics simulations to study the effect of a condensate on the assembly of icosahedral capsids. The capsid subunits are represented by simple shape-based models to enable simulating a wide range of length and time scales, while the condensate is modeled implicitly to study the effects of phase separation independent of the molecular details of biomolecular condensates. Our results show that condensates can significantly enhance assembly rates, yields, and robustness to parameter variations, consistent with previous theoretical predictions. However, extending beyond those predictions, the computational models also show that excluded volume enables control over the number of capsids that assemble within condensates. Moreover, long-lived aberrant off-pathway assembly intermediates can suppress yields within condensates. In addition to elucidating condensate-mediated assembly of viruses and other biological structures, these results may guide the use of condensates as a generic route to enhance and control self-assembly in human-engineered systems.

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Publication Details

Journal
ACS Nano
Published
2025-08-09
DOI
https://doi.org/10.1021/acsnano.5c08120
Citations
3
Primary Topic
Pickering emulsions and particle stabilization
Type
article
Field-Weighted Citation Impact
1.55

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article

Computer Simulations Show That Liquid–Liquid Phase Separation Enhances Self-Assembly

Naren Sundararajan, Anthony Trubiano, Layne B. Frechette, Michael F. Hagan et al.
3 citations
ACS Nano
Pickering emulsions and particle stabilization
1.55
article

Computer Simulations Show That Liquid–Liquid Phase Separation Enhances Self-Assembly

Naren Sundararajan, Anthony Trubiano, Layne B. Frechette, Michael F. Hagan, Fernando Caballero
article en
3 citations

Abstract

Biomolecular condensates are liquid- or gel-like droplets of proteins and nucleic acids formed at least in part through liquid-liquid phase separation. Condensates enable diverse functions of cells and the pathogens that infect them, including self-assembly reactions. For example, it has been shown that many viruses form condensates within their host cells to compartmentalize capsid assembly and packaging of the viral genome. Yet, the physical principles controlling condensate-mediated self-assembly remain incompletely understood. In this article, we use coarse-grained molecular dynamics simulations to study the effect of a condensate on the assembly of icosahedral capsids. The capsid subunits are represented by simple shape-based models to enable simulating a wide range of length and time scales, while the condensate is modeled implicitly to study the effects of phase separation independent of the molecular details of biomolecular condensates. Our results show that condensates can significantly enhance assembly rates, yields, and robustness to parameter variations, consistent with previous theoretical predictions. However, extending beyond those predictions, the computational models also show that excluded volume enables control over the number of capsids that assemble within condensates. Moreover, long-lived aberrant off-pathway assembly intermediates can suppress yields within condensates. In addition to elucidating condensate-mediated assembly of viruses and other biological structures, these results may guide the use of condensates as a generic route to enhance and control self-assembly in human-engineered systems.

ACS NanoVol. 19(33)
Brandeis University (US)
Division of Materials Research, Office of Advanced Cyberinfrastructure, Division of Molecular and Cellular Biosciences, Basic Energy Sciences
Openalex Percentile: Top 16%
Pickering emulsions and particle stabilization
1.55
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