Evidence map›Paper›PMID 31031819›Full record

ArticleNature physics2016

Physical determinants of the self-replication of protein fibrils.

Anđela Šarić, Alexander K Buell, Georg Meisl, Thomas C T Michaels, Christopher M Dobson, Sara Linse, Tuomas P J Knowles, Daan Frenkel

Abstract read
In one paragraph

Article in Nature physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Self-replication of AProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Adsorption free energy predicts amyloid protein nucleation rates.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Multi-eGO: An in silico lens to look into protein aggregation kinetics at atomic resolution.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
  13. Article
  14. Single-molecule fluorescence imaging and deep learning reveal highly heterogeneous aggregation of amyloid-β 42.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Review
  16. Article
  17. Computational Models for the Study of Protein Aggregation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  18. The Protein Folding Problem: The Role of Theory.Journal of molecular biology · 2021
    Review
  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

8 authors.

Anđela ŠarićDepartment of Chemistry, University of Cambridge, Cambridge, UK.
Alexander K Buell *Institute of Physical Biology, University of Duesseldorf, Duesseldorf Germany.
Georg Meisl *Department of Chemistry, University of Cambridge, Cambridge, UK.
Thomas C T MichaelsDepartment of Chemistry, University of Cambridge, Cambridge, UK.
Christopher M DobsonDepartment of Chemistry, University of Cambridge, Cambridge, UK.
Sara LinseDepartment of Biochemistry and Structural Biology, Lund University, Lund, Sweden.
Tuomas P J KnowlesDepartment of Chemistry, University of Cambridge, Cambridge, UK.
Daan FrenkelDepartment of Chemistry, University of Cambridge, Cambridge, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/E019927/1Biotechnology and Biological Sciences Research Council BB/H003843/1European Research Council 337969European Research Council 340890Medical Research Council G0200653Medical Research Council G1002272Motor Neurone Disease Association CHRISTODOULOU/APR11/6273Motor Neurone Disease Association DOBSON/APR11/6273Parkinson's UK H-0903Parkinson's UK H-1103Wellcome Trust 074054Wellcome Trust 094425
6 · The paper itself

Abstract

The ability of biological molecules to replicate themselves, achieved with the aid of a complex cellular machinery, is the foundation of life. However, a range of aberrant processes involve the self-replication of pathological protein structures without any additional factors. A dramatic example is the autocatalytic replication of pathological protein aggregates, including amyloid fibrils and prions, involved in neurodegenerative disorders. Here, we use computer simulations to identify the necessary requirements for the self-replication of fibrillar assemblies of proteins. We establish that a key physical determinant for this process is the affinity of proteins for the surfaces of fibrils. We find that self-replication can only take place in a very narrow regime of inter-protein interactions, implying a high level of sensitivity to system parameters and experimental conditions. We then compare our theoretical predictions with kinetic and biosensor measurements of fibrils formed from the A

Identifiers

PMID31031819
PMCPMC6485595

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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.