Evidence map›Paper›PMID 32929030›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Thermodynamic and kinetic design principles for amyloid-aggregation inhibitors.

Thomas C T Michaels, Andela Šarić, Georg Meisl, Gabriella T Heller, Samo Curk, Paolo Arosio, Sara Linse, Christopher M Dobson, Michele Vendruscolo, Tuomas P J Knowles

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Modeling Protein Aggregation Kinetics from NMR Data.Journal of molecular biology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Thomas C T MichaelsDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, United Kingdom.ORCID 0000-0001-6931-5041
Andela ŠarićDepartment of Physics and Astronomy, Institute for the Physics of Living Systems, University College London, London WC1E 6BT, United Kingdom.ORCID 0000-0002-7854-2139
Georg MeislDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, United Kingdom.ORCID 0000-0002-6562-7715
Gabriella T HellerDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, United Kingdom.ORCID 0000-0002-5672-0467
Samo CurkDepartment of Physics and Astronomy, Institute for the Physics of Living Systems, University College London, London WC1E 6BT, United Kingdom.
Paolo ArosioDepartment of Chemistry and Applied Biosciences, ETH Zürich, 8093 Zürich, Switzerland.
Sara LinseDepartment of Chemistry, Division for Biochemistry and Structural Biology, Lund University, 221 00 Lund, Sweden.ORCID 0000-0001-9629-7109
Christopher M DobsonDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, United Kingdom.
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, United Kingdom; mv245@cam.ac.uk tpjk2@cam.ac.uk.ORCID 0000-0002-3616-1610
Tuomas P J KnowlesDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, United Kingdom; mv245@cam.ac.uk tpjk2@cam.ac.uk.

Funding

Biotechnology and Biological Sciences Research CouncilWellcome Trust
6 · The paper itself

Abstract

Understanding the mechanism of action of compounds capable of inhibiting amyloid-fibril formation is critical to the development of potential therapeutics against protein-misfolding diseases. A fundamental challenge for progress is the range of possible target species and the disparate timescales involved, since the aggregating proteins are simultaneously the reactants, products, intermediates, and catalysts of the reaction. It is a complex problem, therefore, to choose the states of the aggregating proteins that should be bound by the compounds to achieve the most potent inhibition. We present here a comprehensive kinetic theory of amyloid-aggregation inhibition that reveals the fundamental thermodynamic and kinetic signatures characterizing effective inhibitors by identifying quantitative relationships between the aggregation and binding rate constants. These results provide general physical laws to guide the design and optimization of inhibitors of amyloid-fibril formation, revealing in particular the important role of on-rates in the binding of the inhibitors.

Indexed as

Models, ChemicalAmyloidDrug DesignKineticsMolecular Targeted TherapyProtein Aggregation, PathologicalThermodynamicsAmyloidamyloiddrug discoveryinhibitionmathematical modelmolecular mechanism

Identifiers

PMID32929030
PMCPMC7533883

What OpenQuestion holds

Textmetadata
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.