Molecular Modeling of Amyloid-beta Oligomer Formation

β-淀粉样蛋白寡聚物形成的分子模型

• 批准号: 6869977
• 负责人: H.Eugene STANLEY
• 金额: $ 13.24万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-03-15 至 2007-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6869977
• 关键词: Alzheimer' s disease; amyloid proteins; chemical aggregate; chemical models; intermolecular interaction; model design /development; molecular assembly /self assembly; molecular dynamics; neuropathology; neurotoxins; protein folding; protein structure

DESCRIPTION (provided by applicant): Alzheimer's disease (AD) is characterized neuropathologically by formation of extracellular amyloid plaques containing the amyloid Beta-protein (ABeta) and intracellular neurofibrillary tangles composed of the protein tau. ABeta self-associates to form amyloid fibrils as bell as smaller, oligomeric assemblies. These aggregation events are thought to underlie the neuronal degeneration and death that produces the profound cerebral atrophy observed in AD. Recent experimental and clinical findings suggest that oligomeric forms of ABeta may be the key neuropathogenetic effectors in AD. It is therefore critical to elucidate the structures of these ABeta oligomers in order to develop pharmaceuticals capable of inhibiting their toxicity. Despite impressive experimental efforts to determine the structures of ABeta oligomers, this goal has not yet been attained. We propose to develop a novel combination of computational tools to determine ABeta oligomeric structures at atomic resolution. These tools include a high-performance simulation technique, discrete molecular dynamics (DMD), and a rapid solvent treatment methodology using all-atom molecular dynamics simulations. We will develop a coarse-grained ab into DMD model of the ABeta peptide which takes into account main-chain hydrogen bond interactions as well as amino acid-specific interactions between side chains. Our aims will be achieved in collaboration with Dr. D. B. Teplow's group, which has made significant contributions to our understanding of the conformational, morphologic, kinetic, and thermodynamic features of Aft assembly. The in vitro data from Dr. Teplow's studies, as well as those from other groups, will help constrain our model of ABeta oligomer formation. Using this experimentally relevant, coarse-grained model, we will generate a range of candidate oligomeric structures. We then will test the stability of the oligomer conformations using all-atom molecular dynamics simulations and newly-developed methodology for free-energy calculations in an explicit solvent at physiological conditions. The identification of stable structures will allow us to begin to understand the roles specific amino acids play in controlling ABeta assembly. Predictions emanating from these analyses then will be tested experimentally in Dr. Teplow's laboratory through chemical synthesis of appropriate ABeta peptides and study of their assembly and neurotoxic activity.

描述(申请人提供)：阿尔茨海默病(AD)的神经病理学特征是形成含有淀粉样β蛋白(ABeta)的细胞外淀粉样斑块和由tau蛋白组成的细胞内神经纤维缠结。Abeta自我结合形成淀粉样纤维，形成更小的低聚聚合体。这些聚集事件被认为是导致AD所观察到的严重脑萎缩的神经元退化和死亡的基础。最近的实验和临床研究结果表明，ABeta的寡聚体可能是AD的关键神经病理效应因子。因此，阐明这些ABETA低聚体的结构对于开发能够抑制其毒性的药物至关重要。尽管在确定ABeta低聚物结构方面做出了令人印象深刻的实验努力，但这一目标尚未实现。我们建议开发一种新的计算工具组合来确定原子分辨率下的ABeta低聚结构。这些工具包括高性能模拟技术、离散分子动力学(DMD)和使用全原子分子动力学模拟的快速溶剂处理方法。我们将发展一个粗粒度的abto到ABeta多肽的DMD模型，该模型考虑了主链氢键相互作用以及侧链之间的氨基酸特异性相互作用。我们的目标将通过与D.B.Teplow博士的团队合作实现，该团队为我们理解AFT组装的构象、形态、动力学和热力学特征做出了重大贡献。Teplow博士研究的体外数据，以及其他研究小组的数据，将有助于限制我们的ABeta齐聚物形成模型。使用这个与实验相关的粗粒度模型，我们将生成一系列候选低聚结构。然后，我们将使用全原子分子动力学模拟和新开发的在生理条件下的显性溶剂中的自由能计算方法来测试低聚物构象的稳定性。稳定结构的鉴定将使我们开始了解特定的氨基酸在控制ABeta组装中所起的作用。然后，从这些分析中得出的预测将在特普罗博士的实验室通过化学合成适当的ABeta多肽并研究它们的组装和神经毒性活性来进行实验验证。