Evidence map›Paper›PMID 40330620›Full record

ArticleComputational and structural biotechnology journal2025

Three scenarios for amyloid transformation in the context of the funnel model.

I Roterman, M Słupina, D Dułak, L Konieczny

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 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

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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

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.

I RotermanDepartment of Bioinformatics and Telemedicine, Jagiellonian University Medical College, ul. Medyczna 7, Kraków 30-688, Poland.
M SłupinaALSTOM ZWUS Sp. z o.o., Modelarska 12, Katowice 40-142, Poland.
D DułakASSA ABLOY Opening Solutions, Magazynowa 4, Leszno, Poland.
L KoniecznyChair of Medical Biochemistry, Jagiellonian University Medical College, ul. Kopernika 7, Kraków 31-034, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of the structure of proteins based on the evaluation of their geometric structure (secondary and supersecondary structure) can be extended to assess the structuring of the hydrophobic region of a protein. Such analysis of amyloid protein structures leads to the identification of three scenarios for amyloid formation. One is the loss of the micelle-like ordering present in the native form (a centric hydrophobic nucleus with a polar surface) in favour of a disordered distribution of hydrophobicity in the amyloid form. The term "micelle-like" is to be understood as specific hydrophobic burial. The second scenario is the reverse process, when the highly disordered distribution of hydrophobicity in the native form is replaced by a hydrophobic burial after amyloid transformation. These two scenarios have been identified for pathological (neurodegenerative) amyloids. The third scenario is the presence of hydrophobic burial ordering in a functional amyloid fibril. In this case, this ordering is present both in the fibril and in the single chain that is the building block of the fibril. This hydrophobic burial ordering provides a means of self-control of fibril size. It prevents unrestricted fibril propagation, which in the case of pathological amyloids is the main factor that disrupts the normal functioning of organelles in the amyloid surroundings. Population analysis (including numerous polymorphic forms) was performed using a collection of structures deposited in the Amyloid Atlas database. These observations allow the construction of a kind of amyloid funnel model, in which the energy minimum depends on external, environmental conditions that may be evaluated using the fuzzy oil drop model in its modified version (FOD-M).

Indexed as

AlphaFoldAmyloidsFunnel modelTauTransthyretinVL domain of IgGα-synuclein

Identifiers

PMID40330620
PMCPMC12053986

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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.