Evidence map›Paper›PMID 21625573›Full record

ArticlePLoS computational biology2011

A multiscale approach to characterize the early aggregation steps of the amyloid-forming peptide GNNQQNY from the yeast prion sup-35.

Jessica Nasica-Labouze, Massimiliano Meli, Philippe Derreumaux, Giorgio Colombo, Normand Mousseau

Abstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Mapping the configurational landscape and aggregation phase behavior of the tau protein fragment PHF6.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  2. Disassembly of Amyloid Fibril with Infrared Free Electron Laser.International journal of molecular sciences · 2023
    Review
  3. Article
  4. Computer Simulations Aimed at Exploring Protein Aggregation and Dissociation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
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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

5 authors.

Jessica Nasica-LabouzeDépartement de Physique and GEPROM, Université de Montréal, Montréal, Québec, Canada.
Massimiliano Meli
Philippe Derreumaux
Giorgio Colombo
Normand Mousseau

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The self-organization of peptides into amyloidogenic oligomers is one of the key events for a wide range of molecular and degenerative diseases. Atomic-resolution characterization of the mechanisms responsible for the aggregation process and the resulting structures is thus a necessary step to improve our understanding of the determinants of these pathologies. To address this issue, we combine the accelerated sampling properties of replica exchange molecular dynamics simulations based on the OPEP coarse-grained potential with the atomic resolution description of interactions provided by all-atom MD simulations, and investigate the oligomerization process of the GNNQQNY for three system sizes: 3-mers, 12-mers and 20-mers. Results for our integrated simulations show a rich variety of structural arrangements for aggregates of all sizes. Elongated fibril-like structures can form transiently in the 20-mer case, but they are not stable and easily interconvert in more globular and disordered forms. Our extensive characterization of the intermediate structures and their physico-chemical determinants points to a high degree of polymorphism for the GNNQQNY sequence that can be reflected at the macroscopic scale. Detailed mechanisms and structures that underlie amyloid aggregation are also provided.

Indexed as

AmyloidMolecular Dynamics SimulationOligopeptidesPeptide Termination FactorsPrionsProtein ConformationSaccharomyces cerevisiae ProteinsAmyloidOligopeptidesPeptide Termination FactorsPrionsSaccharomyces cerevisiae ProteinsSUP35 protein, S cerevisiae

Identifiers

PMID21625573
PMCPMC3098217

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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.