Evidence map›Paper›PMID 39432826›Full record

ArticleThe journal of physical chemistry letters2024

Nucleoprotein Phase-Separation Affinities Revealed via Atomistic Simulations of Short Peptide and RNA Fragments.

Vysakh Ramachandran, William Brown, Christopher Gayvert, Davit A Potoyan

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. A molecular grammar for programmable multiphase protein-RNA vesicles.bioRxiv : the preprint server for biology · 2026
    Article
  3. Molecular drivers of RNA phase separation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Vysakh RamachandranDepartment of Chemistry, Iowa State University, Ames, Iowa 50011, United States.
William BrownDepartment of Chemistry, Iowa State University, Ames, Iowa 50011, United States.
Christopher GayvertRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa 5011, United States.
Davit A PotoyanDepartment of Chemistry, Iowa State University, Ames, Iowa 50011, United States.ORCID 0000-0002-5860-1699

Funding

Multi-scale computational investigation of functions and mechanisms of protein-RNA phase separation.R35GM138243 · NIGMS · IOWA STATE UNIVERSITY · PI Davit POTOYAN · 2020 to 2026
$2.4M
NIGMS NIH HHS R35 GM138243
6 · The paper itself

Abstract

Liquid-liquid phase separation of proteins and nucleic acids into condensate phases is a versatile mechanism for ensuring the compartmentalization of cellular biochemistry. RNA molecules play critical roles in these condensates, particularly in transcriptional regulation and stress responses, exhibiting a wide range of thermodynamic and dynamic behaviors. However, deciphering the molecular grammar that governs the stability and dynamics of protein-RNA condensates remains challenging due to the multicomponent and heterogeneous nature of condensates. In this study, we employ atomistic simulations of 20 distinct mixtures containing minimal RNA and peptide fragments which allows us to dissect the phase-separating affinities of all 20 amino acids in the presence of RNA. Our findings elucidate chemically specific interactions, hydration profiles, and ionic effects that synergistically promote or suppress protein-RNA phase separation. We map a ternary phase diagram of interactions, identifying four distinct groups of residues that promote, maintain, suppress, and disrupt protein-RNA clusters.

Indexed as

Molecular Dynamics SimulationNucleoproteinsRNAPeptide FragmentsPeptidesThermodynamicsNucleoproteinsPeptide FragmentsPeptidesRNA

Identifiers

PMID39432826
PMCPMC11972660

What OpenQuestion holds

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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.