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阿尔茨海默病中 Aβ-HSP60 p458 共轭物与人 HLA-DR-DRB 等位基因结合模式:一种计算机模拟方法。

Binding Patterns Associated Aß-HSP60 p458 Conjugate to HLA-DR-DRB Allele of Human in Alzheimer's Disease: An In Silico Approach.

机构信息

School of Biotechnology and Bioinformatics, D. Y. Patil University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India.

Research and Development Centre, Bharathiar University, Coimbatore, 641 046, India.

出版信息

Interdiscip Sci. 2018 Mar;10(1):93-104. doi: 10.1007/s12539-016-0170-y. Epub 2016 Apr 23.

Abstract

Alzheimer's disease (AD) is a complex, irreversible, progressive brain disorder, which diminishes memory in a slow pace and thinking skills; ranked third by experts. It is a complex disorder that involves numerous cellular and subcellular alterations. The pathogenesis of AD is still unknown, but for better understanding, we proposed an in silico analysis to find out the binding patterns associated with HSP60. Several experimental conclusions have been drawn to understand the actual mechanism behind the forming of aggregation due to misfolding. Protein misfolding disorder is experimentally identified by the accumulation of protein aggregates at the intracellular or extracellular region of brain that adversely affects the cell functioning by disrupting the connection between the cells and ultimately leading to cell death. To unravel the mystery behind the mechanism of AD through computational approach, the current proposal shows the designing of Aß-HSP60 p458 conjugate followed by secondary structure analysis, which is further targeted to HLA-DR-DRB allele of human. The antigenicity of Aß (1-42) peptide is the major concern in our study predicted through PVS server, which provides an insight into the immunogenic behavior of Aß peptide. The mechanism involved in the interaction of HSP60-Aß conjugate with HLA-DR-DRB allele considering the fact that Aß (1-42) is highly immunogenic in human and interactions evoked highly robust T-cell response through MHC class II binding predictions. It was assisted by molecular dynamics simulation of predicted HSP60 structure followed by validation through Ramachandran plot analysis and protein-protein interaction of Aß (1-42) with HSP60.

摘要

阿尔茨海默病(AD)是一种复杂的、不可逆转的、进行性的大脑疾病,它以缓慢的速度削弱记忆力和思维能力;专家将其排名第三。这是一种复杂的疾病,涉及众多细胞和亚细胞的改变。AD 的发病机制尚不清楚,但为了更好地理解,我们提出了一种计算机分析方法,以找出与 HSP60 相关的结合模式。已经得出了一些实验结论,以了解由于错误折叠而形成聚集背后的实际机制。蛋白质错误折叠障碍是通过在大脑的细胞内或细胞外区域积累蛋白质聚集体来在实验中确定的,这会通过破坏细胞之间的连接来损害细胞功能,最终导致细胞死亡。为了通过计算方法揭示 AD 机制背后的奥秘,目前的建议展示了 Aβ-HSP60 p458 缀合物的设计,随后进行二级结构分析,进一步针对人类的 HLA-DR-DRB 等位基因。通过 PVS 服务器预测 Aβ(1-42)肽的抗原性是我们研究的主要关注点,这提供了对 Aβ肽免疫原性行为的深入了解。考虑到 Aβ(1-42)在人类中高度免疫原性,以及通过 MHC 类 II 结合预测引起的强烈 T 细胞反应,HSP60-Aβ缀合物与 HLA-DR-DRB 等位基因相互作用的机制涉及。通过预测的 HSP60 结构的分子动力学模拟提供了帮助,随后通过 Ramachandran 图谱分析和 Aβ(1-42)与 HSP60 的蛋白质-蛋白质相互作用进行验证。

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