COMPUTER SIMULATION STUDIES OF PROTEIN AGGREGATION

蛋白质聚集的计算机模拟研究

• 批准号: 2852399
• 负责人: CAROL K HALL
• 金额: $ 13.32万
• 依托单位: NORTH CAROLINA STATE UNIVERSITY RALEIGH
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-05-01 至 2003-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2852399
• 关键词: computer simulation; intermolecular interaction; model design /development; molecular assembly /self assembly; molecular dynamics; physical model; polyethylene glycols; protein denaturation; protein folding; protein sequence; solute; thermodynamics

Protein aggregation is a serious problem. For example, protein aggregation can interfere with the recovery of recombinant proteins from inclusion bodies, is a cause or associated symptom in diseases such as Alzheimer's disease or Downs syndrome, and can limit the stability of protein-based drugs during their packaging, shipping, storage and administration. An intriguing way to circumvent this problem is to add solutes that have the ability to suppress aggregation, e.g. polyethylene glycol (in vitro) and chaperones (in vivo). This proposal describes a program of theoretical research aimed at understanding the basic principles that underlie protein aggregation, and the mechanisms by which solutes prevent aggregation and enhance refolding. The goal is to develop molecular-level models that capture the essential features that govern the competition between protein refolding and aggregation in both the absence and presence of solutes. By simulating the properties of model proteins and solutes on the computer, we will be able to explore how protein folding and kinetics are influenced by: protein sequence and concentration; denaturant type and concentration; solute type, concentration, and size; and temperature. The proposal has two specific aims: (1) to develop simple, very general, off-lattice protein models based an the heteronuclear square-well chain model and then to use discontinuous molecular dynamics (DMD) to simulate protein folding and aggregation in both the absence and presence of model PEG molecules, and (2) to modify a more realistic protein model, such as one of the more successful intermediate resolution protein folding models, for use with our DMD techniques, thereby enabling efforts to simulate the folding and aggregation of specific small proteins and peptides. These simulations are expected to serve as a future basis for modelling the aggregation of medically important proteins such as beta amyloid, the protein whose aggregation is associated with Alzheimer's disease. Our theoretical work should assist scientists in: (1) choosing and/or designing solutes to suppress unwanted aggregation, (2) optimizing the in vitro refolding of recombinant proteins by manipulation of process variables such as protein concentration, denaturant concentration, etc., and (3) understanding if and how "solutes" contribute to medically- relevant aggregation such as beta amyloid plaque formation in Alzheimer's disease.

蛋白质聚集是一个严重的问题。例如，蛋白质聚集会干扰重组蛋白从包涵体中恢复，是阿尔茨海默病或唐氏综合症等疾病的原因或相关症状，并且会在蛋白质类药物的包装、运输、储存和给药过程中限制其稳定性。规避这个问题的一个有趣的方法是添加具有抑制聚集能力的溶质，例如聚乙二醇（体外）和伴侣（体内）。本提案描述了一个旨在理解蛋白质聚集的基本原理的理论研究项目，以及溶质防止聚集和增强再折叠的机制。目标是开发分子水平的模型，以捕捉在溶质存在和不存在的情况下控制蛋白质再折叠和聚集之间竞争的基本特征。通过在计算机上模拟模型蛋白质和溶质的性质，我们将能够探索蛋白质折叠和动力学如何受到以下因素的影响：蛋白质序列和浓度；变性剂类型和浓度；溶质类型、浓度和大小；和温度。这项建议有两个具体目的：(1)基于异核方孔链模型开发简单、非常通用的非晶格蛋白质模型，然后使用不连续分子动力学（DMD）在模型PEG分子缺失和存在的情况下模拟蛋白质折叠和聚集；(2)修改更现实的蛋白质模型，例如更成功的中间分辨率蛋白质折叠模型之一，用于我们的DMD技术。从而使模拟特定小蛋白质和肽的折叠和聚集成为可能。这些模拟有望成为未来模拟医学上重要蛋白质聚集的基础，如β -淀粉样蛋白，这种蛋白质的聚集与阿尔茨海默病有关。我们的理论工作应该帮助科学家：(1)选择和/或设计溶质来抑制不必要的聚集，(2)通过操纵蛋白质浓度、变性剂浓度等过程变量来优化重组蛋白的体外重折叠，以及(3)了解“溶质”是否以及如何促进医学相关的聚集，如阿尔茨海默病中β淀粉样斑块的形成。