Department of Chemistry, Ben-Gurion University of the Negev, Be'er-Sheva, Israel.
Ilse Katz Institute for Nanoscale Science and Technology, Ben-Gurion University of the Negev, Be'er-Sheva, Israel.
Methods Mol Biol. 2022;2340:121-137. doi: 10.1007/978-1-0716-1546-1_7.
Amyloid diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), and type 2 diabetes (T2D) are characterized by accumulation of misfolded proteins' species, e.g., oligomers and fibrils. The formation of these species occurs via self-assemble of the misfolded proteins in a process which is named "aggregation." It is known that essential divalent metal ions initiate the aggregation of these misfolded proteins, and that specific concentrations of these metal ions may be implicated in the pathology of amyloid diseases. This chapter focuses on the effects of two of the most common divalent metal ions in the brain-Zn and Cu, and while Zn ion is known as a metal that is release from the pancreas. Specifically, the spotlight of this chapter illustrates recent computational molecular modelling studies that investigate the effect of the concentrations of metal ions on aggregation of the misfolded proteins amylin, amyloid β, and α-synuclein. The challenges for computational molecular modeling and future perspectives are discussed.
淀粉样蛋白疾病,如阿尔茨海默病(AD)、帕金森病(PD)和 2 型糖尿病(T2D)的特征是错误折叠蛋白质的物种积累,例如寡聚物和纤维。这些物种的形成是通过错误折叠蛋白质在称为“聚集”的过程中自组装发生的。已知必需的二价金属离子引发这些错误折叠蛋白质的聚集,并且这些金属离子的特定浓度可能与淀粉样蛋白疾病的病理学有关。本章重点介绍大脑中两种最常见的二价金属离子(Zn 和 Cu)的影响,尽管 Zn 离子是已知从胰腺释放的金属。具体来说,本章的重点是最近的计算分子建模研究,这些研究调查了金属离子浓度对错误折叠蛋白质淀粉样蛋白、β淀粉样蛋白和α-突触核蛋白聚集的影响。讨论了计算分子建模的挑战和未来展望。