Evidence map›Paper›PMID 40782375›Full record

ArticleACS nano2025

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

Layne B Frechette, Naren Sundararajan, Fernando Caballero, Anthony Trubiano, Michael F Hagan

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Delay-facilitated self-assembly in compartmentalized systems.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Coarse-Graining Self-Assembly by the Stochastic Landscape Method.Journal of chemical theory and computation · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Layne B FrechetteMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, United States.ORCID 0000-0002-4263-6651
Naren SundararajanMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, United States.
Fernando CaballeroMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, United States.ORCID 0000-0003-0807-2087
Anthony TrubianoMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, United States.
Michael F HaganMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, United States.ORCID 0000-0002-9211-2434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CapsidMolecular Dynamics SimulationCapsid ProteinsComputer SimulationPhase SeparationVirus AssemblyCapsid Proteinsbiomolecular condensatescomputer simulationsliquid−liquid phase separationmolecular dynamicsself-assemblyvirus capsids

Identifiers

PMID40782375
PMCPMC12392740

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.