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The effect of time-dependent macromolecular crowding on the kinetics of protein aggregation: a simple model for the onset of age-related neurodegenerative disease

机译:时间依赖性大分子拥挤对蛋白质聚集动力学的影响:与年龄有关的神经退行性疾病发作的简单模型

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A linear increase in the concentration of "inert" macromolecules with time is incorporated into simple excluded volume models for protein condensation or fibrillation. Such models predict a long latent period during which no significant amount of protein aggregates, followed by a steep increase in the total amount of aggregate. The elapsed time at which these models predict half-conversion of model protein to aggregate varies by less than a factor of two when the intrinsic rate constant for condensation or fibril growth of the protein is varied over many orders of magnitude. It is suggested that this concept can explain why the symptoms of neurodegenerative diseases associated with the aggregation of very different proteins and peptides appear at approximately the same advanced age in humans.
机译:“惰性”大分子浓度随时间的线性增加被合并到简单的排除体积模型中,以进行蛋白质缩合或原纤化。这种模型预测了一个较长的潜伏期,在此期间内没有大量的蛋白质聚集,随后聚集总量急剧增加。当蛋白质的缩合或原纤维生长的内在速率常数变化了多个数量级时,这些模型预测模型蛋白质转化为聚集体的一半转化所用的时间变化小于两倍。提出该概念可以解释为什么与人类完全不同的蛋白质和肽的聚集相关的神经退行性疾病的症状出现在大约相同的高龄。

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