Evidence map›Paper›PMID 21056574›Full record

ArticleJournal of molecular biology2011

Atomic-level characterization of the ensemble of the Aβ(1-42) monomer in water using unbiased molecular dynamics simulations and spectral algorithms.

Nikolaos G Sgourakis, Myrna Merced-Serrano, Christos Boutsidis, Petros Drineas, Zheming Du, Chunyu Wang, Angel E Garcia

Abstract read
In one paragraph

Article in Journal of molecular biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
10.2field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 220 citations in OpenAlex.

  1. Article
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  6. Review
  7. Article
  8. Review
  9. Article
  10. Amyloidogenesis: What Do We Know So Far?International journal of molecular sciences · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Characterization of Amyloidogenic Peptide Aggregability in Helical Subspace.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Nikolaos G SgourakisDepartment of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, NY 12180, USA.
Myrna Merced-Serrano
Christos Boutsidis
Petros Drineas
Zheming Du
Chunyu Wang
Angel E Garcia
Rensselaer Polytechnic Institute · USUniversity of Puerto Rico at Humacao · PR

Funding

RULES FOR HELIX TERMINATION, THE C CAPPING BOXR01GM054537 · NIGMS · TEXAS TECH UNIVERSITY · PI MAKHATADZE, GEORGE I · 1998 to 2010
$2.2M
The RPI Exploratory Center for Cheminformatics(RMI)P20HG003899 · NHGRI · RENSSELAER POLYTECHNIC INSTITUTE · PI BRENEMAN, CURT MARK · 2005 to 2007
$1.1M
NHGRI NIH HHS IP20HG003899-01NHGRI NIH HHS P20 HG003899NIGMS NIH HHS R01 GM054537
6 · The paper itself

Abstract

Aβ(1-42) is the highly pathologic isoform of amyloid-β, the peptide constituent of fibrils and neurotoxic oligomers involved in Alzheimer's disease. Recent studies on the structural features of Aβ in water have suggested that the system can be described as an ensemble of distinct conformational species in fast exchange. Here, we use replica exchange molecular dynamics (REMD) simulations to characterize the conformations accessible to Aβ42 in explicit water solvent, under the ff99SB force field. Monitoring the correlation between J-coupling((3)J(H(N))(H(α))) and residual dipolar coupling (RDC) data calculated from the REMD trajectories to their experimental values, as determined by NMR, indicates that the simulations converge towards sampling an ensemble that is representative of the experimental data after 60 ns/replica of simulation time. We further validate the converged MD-derived ensemble through direct comparison with (3)J(H(N))(H(α)) and RDC experimental data. Our analysis indicates that the ff99SB-derived REMD ensemble can reproduce the experimental J-coupling values with high accuracy and further provide good agreement with the RDC data. Our results indicate that the peptide is sampling a highly diverse range of conformations: by implementing statistical learning techniques (Laplacian eigenmaps, spectral clustering, and Laplacian scores), we are able to obtain an otherwise hidden structure in the complex conformational space of the peptide. Using these methods, we characterize the peptide conformations and extract their intrinsic characteristics, identify a small number of different conformations that characterize the whole ensemble, and identify a small number of protein interactions (such as contacts between the peptide termini) that are the most discriminative of the different conformations and thus can be used in designing experimental probes of transitions between such molecular states. This is a study of an important intrinsically disordered peptide system that provides an atomic-level description of structural features and interactions that are relevant during the early stages of the oligomerization and fibril nucleation pathways.

Indexed as

AlgorithmsMagnetic Resonance SpectroscopyMolecular Dynamics SimulationAmyloid beta-PeptidesHumansModels, MolecularPeptide FragmentsProtein ConformationWaterAmyloid beta-Peptidesamyloid beta-protein (1-42)Peptide FragmentsWater

Identifiers

PMID21056574
PMCPMC3060569
OpenAlexW2121374178

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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.