Evidence map›Paper›PMID 40749166›Full record

ArticleJournal of chemical theory and computation2025

A Coarse-Grained MD Model for Disorder-To-Order Transitions in PolyQ Aggregation.

Maurice Dekker, Mark L van der Klok, Erik Van der Giessen, Patrick R Onck

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Maurice DekkerZernike Institute for Advanced Materials, University of Groningen, Groningen 9747 AG, The Netherlands.ORCID 0000-0001-7096-8576
Mark L van der KlokZernike Institute for Advanced Materials, University of Groningen, Groningen 9747 AG, The Netherlands.
Erik Van der GiessenZernike Institute for Advanced Materials, University of Groningen, Groningen 9747 AG, The Netherlands.ORCID 0000-0002-8369-2254
Patrick R OnckZernike Institute for Advanced Materials, University of Groningen, Groningen 9747 AG, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyglutamine (polyQ) aggregation plays a central role in several neurodegenerative diseases, including Huntington's disease. To investigate the underlying mechanisms of polyQ aggregation, we developed a coarse-grained molecular dynamics model calibrated using atomistic simulations and experimental data. To assess the model's predictive power beyond the calibrated parameter set, we systematically varied side chain interaction strength and hydrogen bonding strength to explore a broader range of aggregation pathways. These pathways ranged from nucleated growth to liquid-to-solid phase transitions. Through seeded aggregation simulations, we observed that amyloid growth occurs primarily in the β-sheet elongation direction, although growth through steric zippering was also observed. Longer polyQ sequences (Q48) exhibited significantly faster growth compared to shorter sequences (Q23), underscoring the role of chain length in aggregation kinetics. Our model provides a versatile framework for studying polyQ aggregation and offers a foundation for investigating broader aggregation mechanisms and sequence variations.

Indexed as

Molecular Dynamics SimulationPeptidesProtein AggregatesCluster AnalysisHydrogen BondingKineticsModels, MolecularPeptidespolyglutamineProtein Aggregates

Identifiers

PMID40749166
PMCPMC12529903

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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.