Evidence map›Paper›PMID 34040740›Full record

ArticleChemical science2021

Thermodynamics and kinetics of the amyloid-β peptide revealed by Markov state models based on MD data in agreement with experiment.

Arghadwip Paul, Suman Samantray, Marco Anteghini, Mohammed Khaled, Birgit Strodel

Abstract read
In one paragraph

Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Membrane Complexity and Phase Behavior Dictate the Stability of Membrane-Inserted AβChemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Chameleonic Nature of Aβ: Implications for Alzheimer's and Other Amyloid Diseases.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Uncertainties in Markov State Models of Small Proteins.Journal of chemical theory and computation · 2023
    Article
  18. Transition Networks Unveil Disorder-to-Order Transformations in AInternational journal of molecular sciences · 2023
    Article
  19. Article
  20. Identification of Catechins' Binding Sites in Monomeric AInternational journal of molecular sciences · 2023
    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

5 authors.

Arghadwip PaulInstitute of Biological Information Processing: Structural Biochemistry (IBI-7), Forschungszentrum Jülich 52428 Jülich Germany b.strodel@fz-juelich.de.
Suman SamantrayInstitute of Biological Information Processing: Structural Biochemistry (IBI-7), Forschungszentrum Jülich 52428 Jülich Germany b.strodel@fz-juelich.de.ORCID https://orcid.org/0000-0003-3361-9582
Marco AnteghiniInstitute of Biological Information Processing: Structural Biochemistry (IBI-7), Forschungszentrum Jülich 52428 Jülich Germany b.strodel@fz-juelich.de.
Mohammed KhaledInstitute of Biological Information Processing: Structural Biochemistry (IBI-7), Forschungszentrum Jülich 52428 Jülich Germany b.strodel@fz-juelich.de.ORCID https://orcid.org/0000-0003-2611-1836
Birgit StrodelInstitute of Biological Information Processing: Structural Biochemistry (IBI-7), Forschungszentrum Jülich 52428 Jülich Germany b.strodel@fz-juelich.de.ORCID https://orcid.org/0000-0002-8734-7765

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The amlyoid-β peptide (Aβ) is closely linked to the development of Alzheimer's disease. Molecular dynamics (MD) simulations have become an indispensable tool for studying the behavior of this peptide at the atomistic level. General key aspects of MD simulations are the force field used for modeling the peptide and its environment, which is important for accurate modeling of the system of interest, and the length of the simulations, which determines whether or not equilibrium is reached. In this study we address these points by analyzing 30-μs MD simulations acquired for Aβ40 using seven different force fields. We assess the convergence of these simulations based on the convergence of various structural properties and of NMR and fluorescence spectroscopic observables. Moreover, we calculate Markov state models for the different MD simulations, which provide an unprecedented view of the thermodynamics and kinetics of the amyloid-β peptide. This further allows us to provide answers for pertinent questions, like: which force fields are suitable for modeling Aβ? (a99SB-UCB and a99SB-ILDN/TIP4P-D); what does Aβ peptide really look like? (mostly extended and disordered) and; how long does it take MD simulations of Aβ to attain equilibrium? (at least 20-30 μs). We believe the analyses presented in this study will provide a useful reference guide for important questions relating to the structure and dynamics of Aβ in particular, and by extension other similar disordered proteins.

Identifiers

PMID34040740
PMCPMC8132945

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.