Evidence map›Paper›PMID 42371580›Full record

ArticleBiophysics and physicobiology2026

A lattice Monte Carlo model for amyloid fibril formation.

Hisashi Okumura, Linh Truong Hoai, Pornthep Sompornpisut, Satoru G Itoh

Abstract read
In one paragraph

Article in Biophysics and physicobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

4 authors.

Hisashi OkumuraExploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan.
Linh Truong HoaiInstitute for Molecular Science, National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan.
Pornthep SompornpisutThe Center of Excellence in Computational Chemistry, Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Satoru G ItohExploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins can aggregate to form amyloid fibrils, which are associated with a group of diseases collectively known as amyloidoses. Molecular dynamics simulations are widely used to study protein aggregation; however, it remains computationally challenging to investigate the entire aggregation process, from initial nucleation to the formation of mature amyloid fibrils, within a single simulation. In this study, we propose a Monte Carlo simulation based on a mathematical lattice model in which proteins are represented as spheres on a lattice. Motivated by the role of intramolecular β-sheet structures in accelerating aggregation, we classify protein states into three categories: monomer, intermediate possessing an intramolecular β-sheet structure, and fibril. By tuning the monomer-to-intermediate transition probability

Indexed as

amyloid diseasemathematical modelprotein aggregation

Identifiers

PMID42371580
PMCPMC13310571

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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.