Formation mechanisms of native states of small proteins
小蛋白质天然状态的形成机制
基本信息
- 批准号:6924596
- 负责人:
- 金额:$ 18.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-08-01 至 2007-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): Full elucidation of the mechanisms of protein folding and misfolding requires detailed knowledge of the molecular events leading to the formation of both native and non-native states. Recent advances, which this investigator has helped to develop, have made it possible to study microsecond time-scale molecular events leading to the formation of a native-like state of a small protein with an all-atom representation of both protein and solvent. We will apply all-atom molecular dynamics simulations with both explicit and continuum solvent models to characterize the non-native states that are relevant to the folding and misfolding of small proteins and peptides. This proposal will incrementally address three key areas. Simulations on two topologically simple proteins, including FSD1 (a beta/beta/alpha module) and protein A (a three-helix bundle), will allow us to study tertiary structure formation and its dependence on the secondary structures. Insights on the role of hydrophobic interactions are also expected to emerge. Tertiary and secondary structure formation will be examined further by simulations of two topologically challenging proteins, including protein G (an alpha/beta protein) and monomeric lambda repressor (an alpha-helical protein). Multiple hydrophobic clusters may form during folding of these two proteins. It is therefore interesting to see how they coalesce and how they repack. We will develop methods for accurate protein folding simulation and protein structure prediction. We will focus on initiation, hydrophobic core, tertiary structure formation and its dependence on the secondary structures. Comparison with experiments, including direct tests on the predictive ability of our model will be an integral part of our study and will be instrumental for a close scrutiny on the approach.
描述(由申请人提供):充分阐明蛋白质折叠和错误折叠的机制需要详细了解导致天然和非天然状态形成的分子事件。该研究人员帮助开发的最新进展使研究微秒时间尺度的分子事件成为可能,这些分子事件导致小蛋白质形成天然状态,具有蛋白质和溶剂的全原子表示。我们将应用具有显式和连续溶剂模型的全原子分子动力学模拟来表征与小蛋白质和肽的折叠和错误折叠相关的非天然状态。这项建议将逐步解决三个关键领域。模拟两种拓扑简单的蛋白质,包括FSD1 (β / β / α模块)和蛋白a(三螺旋束),将使我们能够研究三级结构的形成及其对二级结构的依赖。对疏水相互作用的见解也有望出现。三级和二级结构的形成将通过模拟两种具有拓扑挑战性的蛋白质进一步研究,包括蛋白质G (α / β蛋白)和单体λ抑制因子(α -螺旋蛋白)。这两种蛋白在折叠过程中可形成多个疏水团簇。因此,观察它们如何合并和重新组合是很有趣的。我们将开发精确的蛋白质折叠模拟和蛋白质结构预测方法。我们将重点讨论起始、疏水核、三级结构的形成及其对二级结构的依赖。与实验的比较,包括对我们模型预测能力的直接测试,将是我们研究的一个组成部分,并将有助于对该方法进行仔细审查。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('YONG DUAN', 18)}}的其他基金
TOWARD UNDERSTANDING AMYLOIDO ALL-ATOM MOLECULAR DYNAMICS SIMUALTIONS OF AM
理解淀粉样蛋白的全原子分子动力学模拟
- 批准号:
8364238 - 财政年份:2011
- 资助金额:
$ 18.81万 - 项目类别:
TOWARD UNDERSTANDING AMYLOIDO ALL-ATOM MOLECULAR DYNAMICS SIMUALTIONS OF AM
理解淀粉样蛋白的全原子分子动力学模拟
- 批准号:
7956110 - 财政年份:2009
- 资助金额:
$ 18.81万 - 项目类别:
AMBER force field consortium: a coherent biomolecular simulation platform
AMBER 力场联盟:相干生物分子模拟平台
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7931222 - 财政年份:2009
- 资助金额:
$ 18.81万 - 项目类别:
TOWARD UNDERSTANDING AMYLOIDO ALL-ATOM MOLECULAR DYNAMICS SIMUALTIONS OF AM
理解淀粉样蛋白的全原子分子动力学模拟
- 批准号:
7723171 - 财政年份:2008
- 资助金额:
$ 18.81万 - 项目类别:
AMBER force field consortium: a coherent biomolecular simulation platform
AMBER 力场联盟:相干生物分子模拟平台
- 批准号:
7321186 - 财政年份:2007
- 资助金额:
$ 18.81万 - 项目类别:
AMBER force field consortium: a coherent biomolecular simulation platform
AMBER 力场联盟:相干生物分子模拟平台
- 批准号:
7683012 - 财政年份:2007
- 资助金额:
$ 18.81万 - 项目类别:
AMBER force field consortium: a coherent biomolecular simulation platform
AMBER 力场联盟:相干生物分子模拟平台
- 批准号:
7915262 - 财政年份:2007
- 资助金额:
$ 18.81万 - 项目类别:
DECIPHERING HISTONE CODE BY COMPUTER SIMULATIONS
通过计算机模拟破译组蛋白密码
- 批准号:
7601415 - 财政年份:2007
- 资助金额:
$ 18.81万 - 项目类别:
AMBER force field consortium: a coherent biomolecular simulation platform
AMBER 力场联盟:相干生物分子模拟平台
- 批准号:
7497004 - 财政年份:2007
- 资助金额:
$ 18.81万 - 项目类别:
TOWARD UNDERSTANDING AMYLOIDOSIS: ALL-ATOM MOLECULAR DYNAMICS SIMUALTIONS OF AM
理解淀粉样变性:AM 的全原子分子动力学模拟
- 批准号:
7601390 - 财政年份:2007
- 资助金额:
$ 18.81万 - 项目类别:
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