State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, College of Life Sciences and Biotechnology, Shanghai Jiaotong University, Shanghai 200240, China.
Acta Biochim Biophys Sin (Shanghai). 2013 Jun;45(6):503-8. doi: 10.1093/abbs/gmt026. Epub 2013 Mar 26.
Amyloid fibrils play causal roles in the pathogenesis of amyloid-related degenerative diseases such as Alzheimer's disease, type II diabetes mellitus, and the prion-related transmissible spongiform encephalopathies. The mechanism of fibril formation and protein aggregation is still hotly debated and remains an important open question in order to develop therapeutic method of these diseases. However, traditional molecular biological and crystallographic experiments could hardly observe atomic details and aggregation process. Molecular dynamics (MD) simulations could provide explanations for experimental results and detailed pathway of protein aggregation. In this review, we focus on the applications of MD simulations on several amyloidogenic protein systems. Furthermore, MD simulations could help us to understand the mechanism of amyloid aggregation and how to design the inhibitors.
淀粉样纤维在淀粉样相关退行性疾病的发病机制中起因果作用,如阿尔茨海默病、2 型糖尿病和朊病毒相关的传染性海绵状脑病。纤维形成和蛋白质聚集的机制仍存在争议,仍是开发这些疾病治疗方法的一个重要未解决问题。然而,传统的分子生物学和晶体学实验很难观察到原子细节和聚集过程。分子动力学 (MD) 模拟可以为实验结果和蛋白质聚集的详细途径提供解释。在这篇综述中,我们重点介绍了 MD 模拟在几种淀粉样蛋白系统中的应用。此外,MD 模拟可以帮助我们理解淀粉样聚集的机制以及如何设计抑制剂。