Evidence map›Paper›PMID 40371804›Full record

ArticleProtein science : a publication of the Protein Society2025

Exploring Abeta42 monomer diffusion dynamics on fibril surfaces through molecular simulations.

Yuan-Wei Ma, Guan-Fang Wang, Hong-Yi Chen, Min-Yeh Tsai

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yuan-Wei MaInstitute of Bioinformatics and Structural Biology, National Tsing-Hua University, Hsinchu, Taiwan.
Guan-Fang WangDepartment of Chemistry and Biochemistry, National Chung Cheng University, Chiayi, Taiwan.
Hong-Yi ChenDepartment of Chemistry and Biochemistry, National Chung Cheng University, Chiayi, Taiwan.
Min-Yeh TsaiDepartment of Chemistry and Biochemistry, National Chung Cheng University, Chiayi, Taiwan.ORCID 0000-0002-6275-0312

Funding

National Science and Technology Council, Taiwan 112-2113-M-194-012National Science and Technology Council, Taiwan 113-2628-M-194-001-MY3
6 · The paper itself

Abstract

This study provides critical insights into the role of surface-mediated processes in Alzheimer's disease, with implications for the aggregation of Abeta42 peptides. Employing coarse-grained molecular dynamics simulations, we focus on elucidating the molecular intricacies of these processes beyond primary nucleation. Central to our investigation is the analysis of a freely diffusing Abeta42 monomer on preformed fibril structures. We conduct detailed calculations of the monomer's diffusion coefficient on fibril surfaces (as a one-dimensional case), along with various monomer orientations. Our findings reveal a strong and consistent correlation between the monomer's diffusion coefficient and its orientation on the surface. Further analysis differentiates the effects of parallel and perpendicular alignments with respect to the fibril axis. Additionally, we explore how different fibril surfaces influence monomer dynamics by comparing the C-terminal and N-terminal surfaces. We find that the monomer exhibits faster diffusion coefficients on the C-terminal surface. Differences in surface roughness (S

Indexed as

Amyloid beta-PeptidesMolecular Dynamics SimulationPeptide FragmentsAlzheimer DiseaseDiffusionHumansSurface PropertiesAmyloid beta-Peptidesamyloid beta-protein (1-42)Peptide Fragmentsamyloid betacoarse‐grained modelsdiffusion dynamicsfibril growth kineticsfibril surface‐mediated processesMD simulationpeptide‐surface interaction

Identifiers

PMID40371804
PMCPMC12079388

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.