Investigation of the lag phase in amyloid-beta aggregation using a lattice model
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Investigation of the lag phase in amyloid-beta aggregation using a lattice model
Abstract
This study employs a lattice model combined with Monte Carlo simulations to overcome the computational time-scale bottleneck, enabling a comprehensive observation of lag phase dynamics under macro-conditions. Our results demonstrate that the temperature dependence of aggregation time follows a characteristic U-shaped curve, identifying an optimal temperature range that maximizes the nucleation rate. Investigations into concentration variations confirm an inverse correlation with the lag time, which is attributed to the increased effective collision probability and enhanced nucleation capacity as spatial density rises. Notably, the successful reproduction of sigmoid kinetic curves allows for the identification of an ideal concentration threshold that maintains a sufficiently long lag phase for detailed micro-analysis.
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