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.
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.
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Who cites it
77 citing papers in PubMed, 220 citations in OpenAlex.
- Mixture diffusion model for multimodal antibody design.Briefings in bioinformatics · 2026Article
- Spontaneous Insertion of Aβ42 Dimers but Not Monomers into a Cholesterol-Rich Lipid Bilayer.ACS chemical neuroscience · 2026Article
- Epigallocatechin Gallate as a State-Dependent Modulator of Amyloid-Biomolecules · 2026Review
- Stability and Dynamics of the N‑Terminal Domain of TDP-43 and the Effect of Point Mutations.ACS omega · 2026Article
- Structural analysis of antigenic variation and adaptive evolution of the H5N1 neuraminidase gene.PLoS computational biology · 2026Article
- Survey of the Aβ-peptide structural diversity: molecular dynamics approaches.Biophysical reviews · 2024Review
- Pyroglutamylation modulates electronic properties and the conformational ensemble of the amyloid β-peptide.Proteins · 2024Article
- Peptide Self-Assembly into Amyloid Fibrils: Unbiased All-Atom Simulations.The journal of physical chemistry. B · 2024Review
- Key Residue for Aggregation of Amyloid-β Peptides.ACS chemical neuroscience · 2022Article
- Amyloidogenesis: What Do We Know So Far?International journal of molecular sciences · 2022Review
- Combining enhanced sampling and deep learning dimensionality reduction for the study of the heat shock protein B8 and its pathological mutant K141E.RSC advances · 2022Article
- Effects of Familial Alzheimer's Disease Mutations on the Folding Free Energy and Dipole-Dipole Interactions of the Amyloid β-Peptide.The journal of physical chemistry. B · 2022Article
- Aggregation of a Parkinson's Disease-Related Peptide: When Does Urea Weaken Hydrophobic Interactions?ACS chemical neuroscience · 2022Article
- A Small Molecule Stabilizes the Disordered Native State of the Alzheimer's Aβ Peptide.ACS chemical neuroscience · 2022Article
- Pharmacological affinity fingerprints derived from bioactivity data for the identification of designer drugs.Journal of cheminformatics · 2022Article
- Molecular Dynamics Simulation Studies on the Aggregation of Amyloid-β Peptides and Their Disaggregation by Ultrasonic Wave and Infrared Laser Irradiation.Molecules (Basel, Switzerland) · 2022Review
- Molecular dynamics simulations of amyloid-β peptides in heterogeneous environments.Biophysics and physicobiology · 2022Article
- Characterization of Amyloidogenic Peptide Aggregability in Helical Subspace.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Data Mining of Molecular Simulations Suggest Key Amino Acid Residues for Aggregation, Signaling and Drug Action.Biomolecules · 2021Article
- Unsupervised Learning Methods for Molecular Simulation Data.Chemical reviews · 2021Article
17 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
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.
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