Amyloid beta (Aβ) oligomers are neurotoxic compounds that destroy the brain of Alzheimer's disease patients. Recent studies indicated that the trimer is one of the most cytotoxic forms of low molecular weight Aβ oligomers. As there was limited information about the structure of the Aβ trimer, either by experiment or by computation, we determined in this work the structure of the 3Aβ oligomer for the first time using the temperature replica exchange molecular dynamics simulations in the presence of an explicit solvent. More than 20.0 μs of MD simulations were performed. The probability of the β-content and random coil structure of the solvated trimer amounts to 42 ± 6 and 49 ± 7% which is in good agreement with experiments. Intermolecular interactions in central hydrophobic cores play a key role in stabilizing the oligomer. Intermolecular polar contacts between D23 and residues 24-29 replace the salt bridge D23-K28 to secure the loop region. The hydrophilic region of the N-terminus is maintained by the intermolecular polar crossing contacts H13A-Q15B and H13B-Q15C. The difference in the free energy of binding between the constituting monomers and the others amounts to -36 ± 8 kcal mol. The collision cross section of the representative structures of the trimer was computed to be 1330 ± 47 Å, which is in good agreement with previous experiments.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1039/c6cp05511g | DOI Listing |
Langmuir
January 2025
Centre for Computational and Data Sciences, Indian Institute of Technology Kharagpur, West Bengal 721302, India.
Understanding the arrangement of ionic liquids at the interface and their interactions with the surface is crucial for enhancing selectivity in heterogeneous reactions for practical applications. In this study, we investigate the nature of the adsorption and structural orientations of a sulfonyl-based ionic liquid on platinum-based mono- and bimetallic (111) surfaces employing replica exchange molecular dynamics and first-principles density functional theory calculations. More than 30 confirmations of the ionic liquid are identified on both monometallic and bimetallic surfaces.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Department of Chemistry, Faculty of Science, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
Tau is a microtubule (MT)-associated protein that binds to and stabilizes the MTs of neurons. Due to its intrinsically disordered nature, it undergoes several post-translational modifications (PTMs) that are intricately linked to both the physiological and pathophysiological roles of Tau. Prior research has shown phosphorylation and O-GlcNAcylation to have contrasting effects on Tau aggregation; however, the precise molecular mechanisms and potential synergistic effects of these modifications remain elusive.
View Article and Find Full Text PDFBiomolecules
January 2025
School of Systems Biology, George Mason University, Fairfax, VA 22030, USA.
Amylin and amyloid β belong to the same protein family and activate the same receptors. Amyloid β levels are elevated in Alzheimer's disease. Recent studies have demonstrated that amylin-based peptides can reduce the symptoms of Alzheimer's disease in animal models.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Physics and Astronomy, Clemson University, Clemson, SC, USA.
The ARID1A gene, frequently mutated in cancer, encodes the AT-rich interactive domain-containing protein 1 A, a key component of the chromatin remodeling SWI/SNF complex. The ARID1A protein features a conserved DNA-binding domain (ARID domain) of approximately 100 residues crucial for its function. Despite the frequency of mutations, the impact on ARID1A's stability and contribution to cancer progression remains unclear.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw, ul. Ks. Trojdena 4, 02-109 Warsaw, Poland.
Designing RNA sequences that form a specific structure remains a challenge. Current computational methods often struggle with the complexity of RNA structures, especially when considering pseudoknots or restrictions related to RNA function. We developed DesiRNA, a computational tool for the design of RNA sequences based on the Replica Exchange Monte Carlo approach.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!