Evidence map›Paper›PMID 41602950›Full record

ArticleChem & bio engineering2026

Coarse-Grained Modeling and Simulation of Multistranded RNA Nanostars.

Pradnya R Kadam, Justine Lim, Mahdi Dizani, Jaimie Marie Stewart

Abstract read
In one paragraph

Article in Chem & bio engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Pradnya R Kadam†Department of Molecular, Cell, and Developmental Biology, ‡Department of Computational and Systems Biology, §Department of Mechanical and Aerospace Engineering, ∥Department of Bioengineering, ⊥Molecular Biology Institute, University of California, Los Angeles, Los Angeles, California 90095, United States.
Justine Lim†Department of Molecular, Cell, and Developmental Biology, ‡Department of Computational and Systems Biology, §Department of Mechanical and Aerospace Engineering, ∥Department of Bioengineering, ⊥Molecular Biology Institute, University of California, Los Angeles, Los Angeles, California 90095, United States.
Mahdi Dizani†Department of Molecular, Cell, and Developmental Biology, ‡Department of Computational and Systems Biology, §Department of Mechanical and Aerospace Engineering, ∥Department of Bioengineering, ⊥Molecular Biology Institute, University of California, Los Angeles, Los Angeles, California 90095, United States.
Jaimie Marie Stewart†Department of Molecular, Cell, and Developmental Biology, ‡Department of Computational and Systems Biology, §Department of Mechanical and Aerospace Engineering, ∥Department of Bioengineering, ⊥Molecular Biology Institute, University of California, Los Angeles, Los Angeles, California 90095, United States.ORCID https://orcid.org/0000-0003-1600-5677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomolecular condensates are dynamic, membraneless compartments that emerge through phase separation of specific proteins and nucleic acids, regulating key biochemical processes within cells. Inspired by these natural systems, we recently developed a modular platform for engineering synthetic ribonucleic acid (RNA) condensates using a multistranded branched RNA motif, termed a nanostar. Here, we employ coarse-grained modeling and molecular dynamics (MD) simulations using the oxRNA2 platform to quantify conformational dynamics of 3-, 4-, and 5-arm nanostars. We define flexibility as the standard deviation of interarm angle distributions and geometry as the mean interarm angle. Across valencies at 37 °C and 0.15 M monovalent salts (NaCl), increasing the arm number reduces the mean angle as expected from geometry, while the dispersion of interarm angles remains comparable, indicating similar flexibility. Salt increases the mean angle in 4- and 5-arm nanostars and increases the temperature dependence of interarm angles. In contrast, the 3-arm nanostar is largely unaffected by salt and temperature over the studied ranges. Lastly, at 1.0 M salt and 37 °C, DNA nanostars adopt larger mean angles compared to RNA nanostars across all valencies, suggesting that backbone chemistry shifts preferred geometry more than it broadens fluctuations. These results illuminate how valency, salt, and temperature differentially control geometry versus flexibility, informing the design of synthetic RNA nanostars and thus condensates with predictable material responses.

Indexed as

coarse-grained molecular dynamicsnucleic acid nanotechnologyphase separationRNA nanostarsRNA nanotechnologysynthetic condensates

Identifiers

PMID41602950
PMCPMC12833626

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LicenceCC BY-NC-ND
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Registered trials

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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.