Evidence map›Paper›PMID 23071427›Full record

ArticlePLoS computational biology2012

Connecting macroscopic observables and microscopic assembly events in amyloid formation using coarse grained simulations.

Noah S Bieler, Tuomas P J Knowles, Daan Frenkel, Robert Vácha

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

16 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
  2. 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
  3. Phosphorylation sites are evolutionary checkpoints against liquid-solid transition in protein condensates.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Computer Simulations Aimed at Exploring Protein Aggregation and Dissociation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Computational Models for the Study of Protein Aggregation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Monte Carlo simulation of kinetically slowed down phase separation.The European physical journal. E, Soft matter · 2015
    Article
  14. Review
  15. Crucial role of nonspecific interactions in amyloid nucleation.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  16. 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 at 2 institutions in 3 countries.

Noah S BielerLaboratory for Physical Chemistry, ETH Zürich, Zurich, Switzerland.
Tuomas P J Knowles
Daan Frenkel
Robert Vácha
University of Cambridge · GBETH Zurich · CH

Funding

Medical Research Council MC_G1000734Wellcome Trust 089703
6 · The paper itself

Abstract

The pre-fibrillar stages of amyloid formation have been implicated in cellular toxicity, but have proved to be challenging to study directly in experiments and simulations. Rational strategies to suppress the formation of toxic amyloid oligomers require a better understanding of the mechanisms by which they are generated. We report Dynamical Monte Carlo simulations that allow us to study the early stages of amyloid formation. We use a generic, coarse-grained model of an amyloidogenic peptide that has two internal states: the first one representing the soluble random coil structure and the second one the [Formula: see text]-sheet conformation. We find that this system exhibits a propensity towards fibrillar self-assembly following the formation of a critical nucleus. Our calculations establish connections between the early nucleation events and the kinetic information available in the later stages of the aggregation process that are commonly probed in experiments. We analyze the kinetic behaviour in our simulations within the framework of the theory of classical nucleated polymerisation, and are able to connect the structural events at the early stages in amyloid growth with the resulting macroscopic observables such as the effective nucleus size. Furthermore, the free-energy landscapes that emerge from these simulations allow us to identify pertinent properties of the monomeric state that could be targeted to suppress oligomer formation.

Indexed as

Molecular Dynamics SimulationAmyloidAmyloid beta-PeptidesHumansKineticsMonte Carlo MethodReproducibility of ResultsThermodynamicsAmyloidAmyloid beta-Peptides

Identifiers

PMID23071427
PMCPMC3469425
OpenAlexW2019484586

What OpenQuestion holds

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LicenceCC BY
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.