Evidence map›Paper›PMID 25134066›Full record

ArticleJournal of the American Chemical Society2014

Fibril elongation by Aβ(17-42): kinetic network analysis of hybrid-resolution molecular dynamics simulations.

Wei Han, Klaus Schulten

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Nucleation and Growth of Amyloid Fibrils.The journal of physical chemistry. B · 2023
    Article
  7. Direct Observation of Seeded Conformational Conversion of hIAPPJournal of chemical information and modeling · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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
  13. Article
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  15. Article
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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

2 authors at 1 institution in 1 country.

Wei HanBeckman Institute, ‡Center for Biophysics and Computational Biology, and §Department of Physics, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Klaus Schulten
University of Illinois Urbana-Champaign · US

Funding

WHOLE CELL SIMULATIONP41RR005969 · NCRR · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI STONE, JOHN H · 1990 to 2011
$19.8M
WHOLE CELL SIMULATIONP41GM104601 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2012 to 2021
$19.0M
System-Level Simulation of a Bioenergetic MembraneR01GM067887 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2003 to 2018
$4.0M
NCRR NIH HHS P41 RR005969NCRR NIH HHS P41-RR005969NIGMS NIH HHS P41 GM104601NIGMS NIH HHS R01 GM067887NIGMS NIH HHS R01-GM067887
6 · The paper itself

Abstract

A critical step of β-amyloid fibril formation is fibril elongation in which amyloid-β monomers undergo structural transitions to fibrillar structures upon their binding to fibril tips. The atomic detail of the structural transitions remains poorly understood. Computational characterization of the structural transitions is limited so far to short Aβ segments (5-10 aa) owing to the long time scale of Aβ fibril elongation. To overcome the computational time scale limit, we combined a hybrid-resolution model with umbrella sampling and replica exchange molecular dynamics and performed altogether ∼1.3 ms of molecular dynamics simulations of fibril elongation for Aβ17-42. Kinetic network analysis of biased simulations resulted in a kinetic model that encompasses all Aβ segments essential for fibril formation. The model not only reproduces key properties of fibril elongation measured in experiments, including Aβ binding affinity, activation enthalpy of Aβ structural transitions and a large time scale gap (τlock/τdock = 10(3)-10(4)) between Aβ binding and its structural transitions, but also reveals detailed pathways involving structural transitions not seen before, namely, fibril formation both in hydrophobic regions L17-A21 and G37-A42 preceding fibril formation in hydrophilic region E22-A30. Moreover, the model identifies as important kinetic intermediates strand-loop-strand (SLS) structures of Aβ monomers, long suspected to be related to fibril elongation. The kinetic model suggests further that fibril elongation arises faster at the fibril tip with exposed L17-A21, rather than at the other tip, explaining thereby unidirectional fibril growth observed previously in experiments.

Indexed as

Molecular Dynamics SimulationAmyloidAmyloid beta-PeptidesHumansKineticsPeptide FragmentsProtein ConformationAmyloidAmyloid beta-Peptidesamyloid beta-protein (17-42)Peptide Fragments

Identifiers

PMID25134066
PMCPMC4156860
OpenAlexW2325860267

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.