Evidence map›Paper›PMID 32365068›Full record

ArticlePLoS computational biology2020

The hydrophobic effect characterises the thermodynamic signature of amyloid fibril growth.

Juami Hermine Mariama van Gils, Erik van Dijk, Alessia Peduzzo, Alexander Hofmann, Nicola Vettore, Marie P Schützmann, Georg Groth, Halima Mouhib, Daniel E Otzen, Alexander K Buell and 1 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. The temperature dependence of amyloidProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Amelogenin proteolysis orchestrates functional amyloid pathways in enamel development.Matrix biology : journal of the International Society for Matrix Biology · 2026
    Article
  5. Article
  6. PLM-eXplain: divide and conquer the protein embedding space.Bioinformatics (Oxford, England) · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Martini on the Rocks: Can a Coarse-Grained Force Field Model Crystals?The journal of physical chemistry letters · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

11 authors.

Juami Hermine Mariama van GilsComputer Science Department, Center for Integrative Bioinformatics (IBIVU), VU University, Amsterdam, The Netherlands.ORCID 0000-0003-3706-7818
Erik van DijkComputer Science Department, Center for Integrative Bioinformatics (IBIVU), VU University, Amsterdam, The Netherlands.
Alessia PeduzzoInstitute of Physical Biology, University of Düsseldorf, Düsseldorf, Germany.ORCID 0000-0002-9958-8996
Alexander HofmannInstitute of Biochemical Plant Physiology, University of Düsseldorf, Düsseldorf, Germany.ORCID 0000-0001-8417-6748
Nicola VettoreInstitute of Physical Biology, University of Düsseldorf, Düsseldorf, Germany.ORCID 0000-0002-1776-220X
Marie P SchützmannInstitute of Physical Biology, University of Düsseldorf, Düsseldorf, Germany.ORCID 0000-0003-2467-4782
Georg GrothInstitute of Biochemical Plant Physiology, University of Düsseldorf, Düsseldorf, Germany.ORCID 0000-0002-1806-9861
Halima MouhibUniversitée Paris-Est, Laboratoire Modélisation et Simulation Multi Echelle, MSME UMR 8208 CNRS, 5 bd Descartes, 77454 Marne-la-Vallée, France.
Daniel E OtzenInterdisciplinary Nanoscience Center (iNANO) and Department of Molecular Biology, Aarhus, Denmark.ORCID 0000-0002-2918-8989
Alexander K BuellInstitute of Physical Biology, University of Düsseldorf, Düsseldorf, Germany.ORCID 0000-0003-1161-3622
Sanne AbelnComputer Science Department, Center for Integrative Bioinformatics (IBIVU), VU University, Amsterdam, The Netherlands.ORCID 0000-0002-2779-7174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many proteins have the potential to aggregate into amyloid fibrils, protein polymers associated with a wide range of human disorders such as Alzheimer's and Parkinson's disease. The thermodynamic stability of amyloid fibrils, in contrast to that of folded proteins, is not well understood: the balance between entropic and enthalpic terms, including the chain entropy and the hydrophobic effect, are poorly characterised. Using a combination of theory, in vitro experiments, simulations of a coarse-grained protein model and meta-data analysis, we delineate the enthalpic and entropic contributions that dominate amyloid fibril elongation. Our prediction of a characteristic temperature-dependent enthalpic signature is confirmed by the performed calorimetric experiments and a meta-analysis over published data. From these results we are able to define the necessary conditions to observe cold denaturation of amyloid fibrils. Overall, we show that amyloid fibril elongation is associated with a negative heat capacity, the magnitude of which correlates closely with the hydrophobic surface area that is buried upon fibril formation, highlighting the importance of hydrophobicity for fibril stability.

Indexed as

AmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsHumansHydrophobic and Hydrophilic InteractionsModels, TheoreticalMolecular Dynamics SimulationProtein DenaturationProtein FoldingTemperatureThermodynamicsAmyloidAmyloid beta-PeptidesAmyloidogenic Proteins

Identifiers

PMID32365068
PMCPMC7282669

What OpenQuestion holds

Textmetadata
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.