Laboratoire de Biochimie Théorique, UPR 9080, CNRS, Université de Paris, Paris, France.
Institut de Biologie Physico-Chimique, Fondation Edmond de Rothschild, PSL Research University, Paris, France.
Methods Mol Biol. 2022;2340:175-196. doi: 10.1007/978-1-0716-1546-1_9.
Protein aggregation can lead to well-defined structures that are functional, but is also the cause of the death of neuron cells in many neurodegenerative diseases. The complexity of the molecular events involved in the aggregation kinetics of amyloid proteins and the transient and heterogeneous characters of all oligomers prevent high-resolution structural experiments. As a result, computer simulations have been used to determine the atomic structures of amyloid proteins at different association stages as well as to understand fibril dissociation. In this chapter, we first review the current computer simulation methods used for aggregation with some atomistic and coarse-grained results aimed at better characterizing the early formed oligomers and amyloid fibril formation. Then we present the applications of non-equilibrium molecular dynamics simulations to comprehend the dissociation of protein assemblies.
蛋白质聚集会导致形成具有特定结构的物质,但它也是许多神经退行性疾病中神经元细胞死亡的原因。淀粉样蛋白聚集动力学涉及的分子事件的复杂性以及所有低聚物的瞬态和异质性特征,阻碍了高分辨率结构实验的进行。因此,计算机模拟已被用于确定不同聚合阶段的淀粉样蛋白的原子结构,以帮助理解纤维的解离。在这一章中,我们首先回顾了当前用于聚合的计算机模拟方法,并展示了非平衡分子动力学模拟在理解蛋白质组装体的解离方面的应用。