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Updated: Jun 11, 2026

Characterization of pH-Dependent Reversible Self-Assembly of Amyloid Beta 1-40-Coated Gold Colloids
Published on: March 21, 2025
Alzheimer Abeta(1-42) monomer adsorbed on the self-assembled monolayers
Qiuming Wang1, Jun Zhao, Xiang Yu
1Department of Chemical and Biomolecular Engineering, The University of Akron, Akron, Ohio 44325, USA.
Abstract:
Amyloid-beta (Abeta) peptide aggregation on the cell membranes is a key pathological event responsible for neuron cell death in Alzheimer's disease (AD). We present a collection of molecular docking and molecular dynamics simulations to study the conformational dynamics and adsorption behavior of Abeta monomer on the self-assembled monolayer (SAM), in comparison to Abeta structure in bulk solution. Two distinct Abeta conformations (i.e., alpha-helix and beta-hairpin) are selected as initial structures to mimic different adsorption states, whereas four SAM surfaces with different end groups in hydrophobicity and charge distribution are used to examine the effect of surface chemistry on Abeta structure and adsorption. Simulation results show that alpha-helical monomer displays higher structural stability than beta-hairpin monomer on all SAMs, suggesting that the preferential conformation of Abeta monomer could be alpha-helical or random structure when bound to surfaces. Structural stability and adsorption behavior of Abeta monomer on the SAMs originates from competitive interactions between Abeta and SAM and between SAM and interfacial water, which involve the conformation of Abeta, the surface chemistry of SAM, and the structure and dynamics of interfacial waters. The relative net binding affinity of Abeta with the SAMs is in the favorable order of COOH-SAM > NH(2)-SAM > CH(3)-SAM > OH-SAM, highlighting the importance of electrostatic and hydrophobic interactions for driving Abeta adsorption at the SAMs, but both interactions contribute differently to each Abeta-SAM complex. This work provides parallel insights into the understanding of Abeta structure and aggregation on cell membrane.
Insights
Amyloid-beta (Abeta) aggregation on cell membranes drives Alzheimer's disease neuron death. Molecular simulations reveal Abeta monomers prefer alpha-helical structures on surfaces, influenced by surface chemistry and interactions.
Area of Science:
- Biophysics
- Computational Chemistry
- Neuroscience
Background:
- Amyloid-beta (Abeta) peptide aggregation on cell membranes is a critical factor in Alzheimer's disease (AD) pathogenesis, leading to neuron cell death.
- Understanding the initial interactions of Abeta monomers with membrane surfaces is crucial for developing therapeutic strategies against AD.
Purpose of the Study:
- To investigate the conformational dynamics and adsorption behavior of Abeta monomers on self-assembled monolayer (SAM) surfaces.
- To compare Abeta structure and adsorption on SAMs with its structure in bulk solution.
- To elucidate the influence of surface chemistry on Abeta conformation and binding affinity.
Main Methods:
- Employed molecular docking and molecular dynamics simulations.
- Studied two distinct Abeta monomer conformations: alpha-helix and beta-hairpin.
- Utilized four SAM surfaces with varying hydrophobicity and charge distributions.
Main Results:
- The alpha-helical Abeta monomer exhibited greater structural stability on all tested SAM surfaces compared to the beta-hairpin conformation.
- Abeta monomer adsorption and stability on SAMs are governed by competitive interactions involving Abeta conformation, SAM surface chemistry, and interfacial water dynamics.
- The binding affinity order for Abeta with SAMs was determined as COOH-SAM > NH(2)-SAM > CH(3)-SAM > OH-SAM, indicating significant roles for electrostatic and hydrophobic interactions.
Conclusions:
- Abeta monomers likely adopt alpha-helical or random conformations when interacting with cell membrane-like surfaces.
- Surface chemistry critically dictates Abeta adsorption and structural stability, with electrostatic and hydrophobic forces playing key roles.
- This study provides fundamental insights into Abeta-surface interactions relevant to Alzheimer's disease mechanisms.
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