Evidence map›Paper›PMID 42878016›Full record

ReviewThe Biochemical journal2026

Recent advances in coarse-grained simulations of nucleic acid condensation.

Jessica Fong Ng, Shanlong Li, Jianhan Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in The Biochemical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

3 authors.

Jessica Fong NgDepartment of Chemistry, University of Massachusetts, Amherst, MA 01003, U.S.A .ORCID 0009-0009-9464-8804
Shanlong LiDepartment of Chemistry, University of Massachusetts, Amherst, MA 01003, U.S.A .ORCID 0000-0003-3713-2931
Jianhan ChenDepartment of Chemistry, University of Massachusetts, Amherst, MA 01003, U.S.A .ORCID 0000-0002-5281-1150

Funding

Disordered Proteins and Dynamic Interactions in Biology and Diseases.R35GM144045 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Jianhan Chen · 2022 to 2026
$2.0M
HHS | NIH | National Institute of General Medical Sciences (NIGMS) R35 GM144045National Science Foundation (NSF) CHE 2516941
6 · The paper itself

Abstract

Biomolecular condensates, formed through phase separation of multivalent biomolecules, play essential roles in cellular processes such as stress response, RNA processing, transcriptional control, and genome organization. Nucleic acids are increasingly recognized as important drivers and regulators of condensate formation and dynamics. This review examines recent advances in coarse-grained molecular simulations of dynamic nucleic acids and their phase transitions. We survey established computational frameworks validated against experimental data and discuss emerging applications that address increasingly complex systems. Existing studies reveal that base-mediated interactions emerge as dominant drivers in homotypic nucleic acid condensation and that simulation resolution fundamentally determines which physical phenomena are accessible and observable. We underscore that different modeling approaches at various resolutions provide complementary insights into nucleic acid condensation mechanisms and the driving forces. We emphasize the opportunities and challenges in extending these frameworks to capture the complexity of nucleic acid-mediated phase separation in biological contexts, while identifying important gaps in current modeling capabilities. Overall, molecular simulations at multiple scales have proven to be powerful tools for elucidating the mechanistic principles underlying nucleic acid condensates and their cellular functions.

Indexed as

Biomolecular CondensatesMolecular Dynamics SimulationNucleic AcidsRNANucleic Acid ConformationPhase SeparationPhase TransitionNucleic AcidsRNAcoarse-grainingdynamic structureion coordinationmolecular simulationphase transition

Identifiers

PMID42878016

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.