纤维
生物物理学
蛋白质聚集
分子动力学
理论(学习稳定性)
化学
淀粉样纤维
淀粉样蛋白(真菌学)
工作(物理)
肌萎缩侧索硬化
肽
淀粉样β
计算机科学
生物
物理
疾病
生物化学
计算化学
热力学
医学
无机化学
病理
机器学习
作者
Tran Thi Minh Thu,Mai Suan Li
摘要
The formation of the fibrillar structure of amyloid proteins/peptides is believed to be associated with neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. Since the rate of aggregation can influence neurotoxicity, finding the key factors that control this rate is of paramount importance. It was recently found that the rate of protein aggregation is related to the mechanical stability of the fibrillar structure such that the higher the mechanical stability, the faster the fibril is formed. However, this conclusion was supported by a limited dataset. In this work, we expand the previous study to a larger dataset, including the wild type of Aβ42 peptide and its 20 mutants, the aggregation rate of which was measured experimentally. By using all-atom steered molecular dynamics (SMD) simulations, we can assess the mechanical stability of the fibril structure, which is characterized by the rupture force, pulling work, and unbinding free energy barrier. Our result confirms that mechanical stability is indeed related to the aggregation rate. Since the estimation of the aggregation rate using all-atom simulations is almost forbidden by the current computational capabilities, our result is useful for predicting it based on information obtained from fast SMD simulations for fibrils.
科研通智能强力驱动
Strongly Powered by AbleSci AI