Multidimensional Femtosecond Correlation Spectroscopic Probes of Biomolecules
生物分子多维飞秒相关光谱探针
基本信息
- 批准号:8129568
- 负责人:
- 金额:$ 28.54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2001
- 资助国家:美国
- 起止时间:2001-09-01 至 2014-07-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAlgorithmsAlzheimer&aposs DiseaseAmidesAmyloidAmyloid FibrilsBindingBiologicalCatalysisCell membraneCellsCellular MembraneChargeCommunitiesComplexCouplingDepositionDevelopmentDiscriminationDiseaseElectronicsElectrostaticsEnvironmentExtravasationFrequenciesGenerationsGrowthGuidelinesHealthHumanHuntington DiseaseHydrogen BondingKineticsKnowledgeLasersLipidsMeasuresMembraneMembrane ProteinsMethodologyMolecularMonitorMotionNeurodegenerative DisordersNon-Insulin-Dependent Diabetes MellitusOpticsParkinson DiseasePatternPeptidesPermeabilityPhospholipidsPhysiologic pulsePrion DiseasesProteinsRelaxationResearchResolutionRoleShapesSideSignal TransductionSimulateStructureSumSurfaceSystemTechniquesTechnologyTestingTimeTissuesToxic effectVertebral columnWateramyloid peptidecell injurydesigneffective therapyhuman diseaseimprovedlarge scale simulationnovelpolypeptideprogramsprotein aggregateprotein misfoldingpublic health relevanceresearch studyresponsesimulationtooltwo-dimensionalultravioletvibration
项目摘要
DESCRIPTION (provided by applicant): The formation and deposition of amyloid fibrils is associated with more than 20 neurodegenerative diseases. These include Alzheimer's, Parkinson's, Huntington's diseases, and the transmissible spongiform encephalopathies and type II diabetes. Oligomeric or other prefibrillar precursors of the fibrils are believed to be the main toxic species, but the mechanism of cell and tissue damage in amyloid-related diseases is not well understood. Improvement of our knowledge of the structure, kinetics of amyloidogenic polypeptides, and of their toxicity is essential for the development of effective treatments of amyloid disorders. Coherent multidimensional optical techniques provide novel probes into the fibril fluctuating structure through the response of molecular vibrational and electronic motions to sequences of carefully timed and shaped femtosecond laser pulses ranging from the infrared to the ultraviolet. Simulation techniques aimed at the design and interpretation of these multidimensional optical signals will be developed. Chirality-induced signals obtained by optimizing the pulse polarization configurations and shapes enhance the resolution and reveal fine details. Cross-peak patterns between side-chain vibrations or electronic excitations of aromatic side-chains with the protein backbone protein/membrane interfaces will be predicted in two-dimensional (2D) UV. Strategies for disentangling multidimensional spectra, enhancing the resolution, and amplifying desired features will be developed. The optical response will be used to characterize small oligomers and their kinetics in the formation of fibrils. Discrimination by their size and structure is of fundamental importance for understanding the molecular factors that affect their formation. It has been suggested that the interactions of amyloidogenic polypeptides with the cell membrane can accelerate fibril formation and are involved in the toxicity of oligomers or protofibrils. Amyloid peptides aggregate on the lipid surface penetrate into membranes and alter their permeability, which may contribute to cell damage. The nonlinear optical probes developed in this program can directly monitor how the formation of fibrils on a membrane damages the bilayer's integrity. Interface-specific even-order optical techniques will be designed to study aggregates of amyloidogenic polypeptides on membranes and identify spectroscopic signatures of their toxicity.
PUBLIC HEALTH RELEVANCE: The structure, kinetics, and aggregation mechanism of misfolded proteins which form amyloid fibrils and are associated with several human diseases will be investigated through their response to sequences of ultrashort infrared and UV optical pulses. Surface specific technique will be applied for probing the toxicity of fibrils on membranes. Simulation techniques for probing the binding, fluctuations, and motions of biomolecular complexes will be developed.
描述(由申请人提供):淀粉样原纤维的形成和沉积与20多种神经退行性疾病有关。这些疾病包括阿尔茨海默氏症、帕金森氏症、亨廷顿氏症、传染性海绵状脑病和II型糖尿病。原纤维的寡聚体或其他原纤维前体被认为是主要的毒性物质,但淀粉样蛋白相关疾病中细胞和组织损伤的机制尚不清楚。提高我们对淀粉样蛋白生成多肽的结构、动力学及其毒性的认识,对于开发有效治疗淀粉样蛋白疾病至关重要。相干多维光学技术通过分子振动和电子运动对从红外到紫外的精心定时和形状的飞秒激光脉冲序列的响应,为纤维波动结构提供了新的探针。旨在设计和解释这些多维光信号的仿真技术将得到发展。通过优化脉冲偏振结构和形状获得的手性诱导信号提高了分辨率,显示了精细的细节。在二维紫外(2D)中,可以预测芳香侧链与蛋白质骨架蛋白/膜界面的侧链振动或电子激发之间的交叉峰模式。将开发解纠缠多维光谱、提高分辨率和放大所需特征的策略。光学响应将用于表征小聚物及其在原纤维形成过程中的动力学。通过它们的大小和结构来区分对于理解影响它们形成的分子因素是至关重要的。有研究表明,淀粉样蛋白多肽与细胞膜的相互作用可以加速原纤维的形成,并参与了低聚物或原原纤维的毒性。淀粉样肽聚集在脂质表面,穿透细胞膜,改变细胞膜的通透性,可能导致细胞损伤。在这个程序中开发的非线性光学探针可以直接监测膜上原纤维的形成如何破坏双分子层的完整性。界面特异性的偶序光学技术将被设计用于研究淀粉样蛋白多肽在膜上的聚集体,并确定其毒性的光谱特征。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
SHAUL MUKAMEL其他文献
SHAUL MUKAMEL的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('SHAUL MUKAMEL', 18)}}的其他基金
2D IR SPECTROSCOPY AS A PROBE OF SOLVENT INTERACTIONS
二维红外光谱作为溶剂相互作用的探针
- 批准号:
8169547 - 财政年份:2010
- 资助金额:
$ 28.54万 - 项目类别:
Developing 2D UV/vis spectroscopy tools to study biomolecular recognition
开发二维紫外/可见光谱工具来研究生物分子识别
- 批准号:
7937895 - 财政年份:2009
- 资助金额:
$ 28.54万 - 项目类别:
Developing 2D UV/vis spectroscopy tools to study biomolecular recognition
开发二维紫外/可见光谱工具来研究生物分子识别
- 批准号:
7831184 - 财政年份:2009
- 资助金额:
$ 28.54万 - 项目类别:
2D IR SPECTROSCOPY AS A PROBE OF SOLVENT INTERACTIONS
二维红外光谱作为溶剂相互作用的探针
- 批准号:
7955452 - 财政年份:2009
- 资助金额:
$ 28.54万 - 项目类别:
2D IR SPECTROSCOPY AS A PROBE OF SOLVENT INTERACTIONS
二维红外光谱作为溶剂相互作用的探针
- 批准号:
7723862 - 财政年份:2008
- 资助金额:
$ 28.54万 - 项目类别:
Multidimensional Femtosecond Correlation Spectroscopic Probes of Biomolecules
生物分子多维飞秒相关光谱探针
- 批准号:
8312583 - 财政年份:2001
- 资助金额:
$ 28.54万 - 项目类别:
Multidimensional Femtosecond Correlation Spectroscopic Probes of Biomolecules
生物分子多维飞秒相关光谱探针
- 批准号:
7988243 - 财政年份:2001
- 资助金额:
$ 28.54万 - 项目类别:
Multidimensional Femtosecond Correlation Spectroscopic Probes of Biomolecules
生物分子多维飞秒相关光谱探针
- 批准号:
8510652 - 财政年份:2001
- 资助金额:
$ 28.54万 - 项目类别:
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 28.54万 - 项目类别:
Continuing Grant














{{item.name}}会员




