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Computer Simulations of Protein Aggregation

蛋白质聚集的计算机模拟

基本信息

批准号：
7923663
负责人：
CAROL K HALL
金额：
$ 17.88万
依托单位：
NORTH CAROLINA STATE UNIVERSITY RALEIGH
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-30 至 2012-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7923663
关键词：
Affect Alanine Alzheimer&apos s Disease Amino Acid Sequence Amyloid Amyloid Fibrils Amyloid beta-Protein Amyloidosis Architecture CAG repeat Cell Nucleus Cereals Characteristics Communities Complex Computer Simulation Computers Deposition Diagnostic Disease Equilibrium Exhibits Goals Growth Hereditary Disease Human Huntington Disease Hydrogen Bonding Hydrophobic Interactions In Vitro Kinetics Learning Length Light Light Chain Deposition Disease Link Medical Research Modeling Molecular Morphology Non-Insulin-Dependent Diabetes Mellitus Nucleotides Parkinson Disease Pathway interactions Peptide Sequence Determination Peptides Prion Diseases Process Property Proteins Research Resolution Seeds Side Simulate Solvents Structure Surface Symptoms System Temperature Therapeutic Thermodynamics Time Tissues United States National Institutes of Health Vertebral column Work amyloid fibril formation amyloid formation base cell injury computerized tools inhibitor/antagonist insight model design molecular dynamics monomer news peptide A polyalanine polyglutamine polypeptide prevent protein aggregation protein aminoacid sequence protein folding research study simulation therapeutic development

项目摘要

DESCRIPTION (provided by applicant): The aberrant assembly of normally soluble proteins into ordered aggregates, called amyloid fibrils, is a cause or associated symptom of many different human disorders including Alzheimer's, Parkinson's and Huntington's diseases, the prion diseases and adult-onset diabetes. Known collectively as the amyloidoses, these diseases are characterized by the slow deposition of a specific protein into amyloid fibrils, which then accumulate into plaques, destroying the function of the affected tissue, usually with degenerative and ultimately fatal consequences. An understanding of the molecular-level mechanisms that result in the aggregation of proteins into amyloid is essential for the discovery of potential therapeutic strategies and diagnostics. As-part of our NIH-sponsored effort to uncover the general physical principles that govern protein aggregation, we developed an intermediate-resolution protein model that allowed the simulation using discontinuous molecular dynamics (DMD) of multi-protein systems within days on a fast workstation. A recent breakthrough enabled us to simulate assembly of 48 16-residue alanine peptides into a fibrillar structure starting from the random coil state. This suggests that the intermediate-resolution model could be used as a computational tool to explore fibril formation in short peptides. The project has three specific aims: (1) to learn the basic physical principles governing protein fibril formation by using DMD to simulate multi-protein systems containing polyalanine chains modeled using our intermediate-resolution model, (2) to shed light on the molecular-level mechanisms responsible for the aggregation of polyglutamine, the protein whose fibrillization is linked to Huntington's disease, by extending the intermediate-resolution model to the treatment of polyglutamine side chains and then performing DMD simulations, and (3) to investigate the aggregation and possible fibrillization of multi-protein systems containing specific amyloidogenic peptides, particularly the Alzheimer's peptides Abeta(1-40) and Abeta(1-42), by extending the intermediate-resolution model to a coarse-grained representation of all 20 residues, performing DMD simulations, and comparing our results with experiment. This work should culminate in a detailed molecular-level picture of the fibrillization process, thereby providing insights to guide medical research workers directly involved in developing therapeutic strategies or inhibitors to circumvent those steps in the fibrillization process that are most responsible for cell damage.

描述（由申请人提供）：正常可溶性蛋白质异常组装成有序聚集体（称为淀粉样原纤维）是许多不同人类疾病的原因或相关症状，所述疾病包括阿尔茨海默氏病、帕金森氏病和亨廷顿氏病、朊病毒病和成人型糖尿病。这些疾病统称为淀粉样变性，其特征在于特定蛋白质缓慢沉积成淀粉样纤维，然后积累成斑块，破坏受影响组织的功能，通常具有退行性和最终致命的后果。了解导致蛋白质聚集成淀粉样蛋白的分子水平机制对于发现潜在的治疗策略和诊断是必不可少的。作为我们NIH赞助的揭示蛋白质聚集的一般物理原理的努力的一部分，我们开发了一个中等分辨率的蛋白质模型，该模型允许在快速工作站上使用多蛋白质系统的不连续分子动力学（DMD）进行模拟。最近的一项突破使我们能够模拟组装48个16-残基丙氨酸肽成纤维状结构开始从无规卷曲状态。这表明，中间分辨率模型可以作为一种计算工具，探索在短肽原纤维的形成。该项目有三个具体目标：（1）通过使用DMD模拟包含使用我们的中间分辨率模型建模的聚丙氨酸链的多蛋白质系统，了解控制蛋白质原纤维形成的基本物理原理，（2）阐明负责聚谷氨酰胺聚集的分子水平机制，该蛋白质的纤维化与亨廷顿病有关，通过将中间分辨率模型扩展到多聚谷氨酰胺侧链的处理，然后进行DMD模拟，和（3）研究含有特定淀粉样蛋白生成肽，特别是阿尔茨海默氏肽Abeta（1-40）和Abeta（1-42）的多蛋白系统的聚集和可能的纤维化，通过将中间分辨率模型扩展到所有20个残基的粗粒度表示，进行DMD模拟，并将我们的结果与实验进行比较。这项工作最终应该在一个详细的分子水平上的图像fietrization过程中，从而提供见解，指导直接参与开发治疗策略或抑制剂的医学研究工作者，以规避fietrization过程中最负责细胞损伤的步骤。