Evidence map›Paper›PMID 38112495›Full record

ArticleJournal of the American Chemical Society2024

Toward Accurate Simulation of Coupling between Protein Secondary Structure and Phase Separation.

Yumeng Zhang, Shanlong Li, Xiping Gong, Jianhan Chen

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

37 citing papers in PubMed, 52 citations in OpenAlex.

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  18. Driving forces of RNA condensation revealed through coarse-grained modeling with explicit MgProceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Yumeng ZhangDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-6405-8362
Shanlong LiDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003, United States.
Xiping GongDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003, United States.
Jianhan ChenDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-5281-1150
University of Massachusetts Amherst · US

Funding

Disordered Proteins and Dynamic Interactions in Biology and Diseases.R35GM144045 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Jianhan Chen · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM144045
6 · The paper itself

Abstract

Intrinsically disordered proteins (IDPs) frequently mediate phase separation that underlies the formation of a biomolecular condensate. Together with theory and experiment, efficient coarse-grained (CG) simulations have been instrumental in understanding the sequence-specific phase separation of IDPs. However, the widely used Cα-only models are limited in capturing the peptide nature of IDPs, particularly backbone-mediated interactions and effects of secondary structures, in phase separation. Here, we describe a hybrid resolution (HyRes) protein model toward a more accurate description of the backbone and transient secondary structures in phase separation. With an atomistic backbone and coarse-grained side chains, HyRes can semiquantitatively capture the residue helical propensity and overall chain dimension of monomeric IDPs. Using GY-23 as a model system, we show that HyRes is efficient enough for the direct simulation of spontaneous phase separation and, at the same time, appears accurate enough to resolve the effects of single His to Lys mutations. HyRes simulations also successfully predict increased β-structure formation in the condensate, consistent with available experimental CD data. We further utilize HyRes to study the phase separation of TPD-43, where several disease-related mutants in the conserved region (CR) have been shown to affect residual helicities and modulate the phase separation propensity as measured by the saturation concentration. The simulations successfully recapitulate the effect of these mutants on the helicity and phase separation propensity of TDP-43 CR. Analyses reveal that the balance between backbone and side chain-mediated interactions, but not helicity itself, actually determines phase separation propensity. These results support that HyRes represents an effective protein model for molecular simulation of IDP phase separation and will help to elucidate the coupling between transient secondary structures and phase separation.

Indexed as

Intrinsically Disordered ProteinsPhase SeparationComputer SimulationMolecular Dynamics SimulationPeptidesProtein ConformationProtein Structure, SecondaryIntrinsically Disordered ProteinsPeptides

Identifiers

PMID38112495
PMCPMC10842759
OpenAlexW4390016576

What OpenQuestion holds

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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.