Institute for Computational Science and Technology, SBI Building, Quang Trung Software City, Tan Chanh Hiep Ward, District 12, Ho Chi Minh City, Vietnam.
Institute of Physics, Polish Academy of Sciences, Al. Lotnikow 32/46, 02-668 Warsaw, Poland.
J Chem Phys. 2019 Jun 14;150(22):225101. doi: 10.1063/1.5096379.
Understanding the key factors that govern the rate of protein aggregation is of immense interest since protein aggregation is associated with a number of neurodegenerative diseases. Previous experimental and theoretical studies have revealed that the hydrophobicity, charge, and population of the fibril-prone monomeric state control the fibril formation rate. Because the fibril structures consist of cross beta sheets, it is widely believed that those sequences that have a high beta content (β) in the monomeric state should have high aggregation rates as the monomer can serve as a template for fibril growth. However, this important fact has never been explicitly proven, motivating us to carry out this study. Using replica exchange molecular dynamics simulation with implicit water, we have computed β of 19 mutations of amyloid beta peptide of 42 residues (Aβ42) for which the aggregation rate κ has been measured experimentally. We have found that κ depends on β in such a way that the higher the propensity to aggregation, the higher the beta content in the monomeric state. Thus, we have solved a long-standing problem of the dependence of fibril formation time of the β-structure on a quantitative level.
理解控制蛋白质聚集速度的关键因素具有重要意义,因为蛋白质聚集与许多神经退行性疾病有关。以前的实验和理论研究表明,纤维状单体的疏水性、电荷和丰度控制着纤维形成的速度。由于纤维结构由交叉β片层组成,因此人们普遍认为在单体状态下具有高β含量(β)的那些序列应该具有较高的聚集速率,因为单体可以作为纤维生长的模板。然而,这一重要事实从未被明确证明,这促使我们进行了这项研究。我们使用带有隐式水的 replica exchange 分子动力学模拟,计算了 42 个残基的淀粉样β肽(Aβ42)的 19 个突变的β,这些突变的聚集率κ已经通过实验测量。我们发现κ与β的关系是,聚集倾向越高,单体状态下的β含量越高。因此,我们从定量水平上解决了纤维形成时间与β结构之间的依赖关系这一长期存在的问题。