New Approaches to Protein Structure Determination Using NMR Spectroscopy

使用核磁共振波谱测定蛋白质结构的新方法

基本信息

  • 批准号:
    EP/G049998/2
  • 负责人:
  • 金额:
    $ 16.36万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Fellowship
  • 财政年份:
    2011
  • 资助国家:
    英国
  • 起止时间:
    2011 至 无数据
  • 项目状态:
    已结题

项目摘要

In the nearly 50 years since the first determinations of the structures of proteins our understanding of three-dimensional states that biological macromolecules adopt in solution has enormously improved. It is now well established that proteins populate a wide variety of different states in solution, many of which are highly conformationally heterogeneous. Even in their native states proteins constantly undergo structural fluctuations with timescales ranging from picoseconds to seconds and beyond; these dynamics are biologically relevant and influence a wide variety of processes including enzymatic catalysis, ligand binding and the formation of biomolecular complexes. It is also being increasingly recognised that non-native and natively unfolded states play crucial roles in many aspects of molecular and cell biology. These states include also those that appear during protein biosynthesis and degradation, those populated by intrinsically unstructured peptides and proteins, the intermediates and transition states sampled during the protein folding, and the variety of pathogenic misfolded multimeric species implicated in a range of neurodegenerative and systemic disorders, such as Alzheimer's and Parkinson's diseases, and type II diabetes. States of this type pose a formidable challenge for structure determination, because, in many cases, they are inherently flexible and conformationally highly heterogeneous.Several factors hamper the experimental characterization of the states of proteins that exhibit high levels of structural heterogeneity. This proposal aims to establish a general procedure for the determination of protein structures in solution that exploits the information provided by NMR chemical shifts and residual dipolar couplings (RDCs). There are several factors supporting the novelty and feasibility of this approach. First, chemical shifts and RDCs represent readily accessible NMR observables, which can be measured in a wide range of conditions. In addition RDCs are highly accurate probes of the dynamics in solution. Not only this approach can extend the limits, in terms of size of the systems and accuracy of the dynamics description, of the conventional employment of NMR in the study of folded proteins but will provide an unprecedented tool for characterizing structurally heterogeneous states in solution.The method proposed here has the potential to shed light on largely unexplored areas of protein science that involve proteins in highly heterogeneous states. So far, conventional techniques have failed in characterizing such states owing to the impossibility of carrying out systematic experiments at atomistic resolution. We do therefore expect that the proposed method will provide the means for addressing many open questions in molecular and cell biology. Some of the applications that we envisage will be in the field of protein misfolding and aggregation, which are processes that have been associated to over 40 pathological conditions ranging from neurodegenerative disorders to systemic amyloidoses. Therefore this approach will have a substantial impact in pharmaceutical and biotechnological research, as well in a range of disciplines related to protein science including chemistry, physicis and biology.
自从首次测定蛋白质的结构以来,近50年来,我们对生物大分子在溶液中的三维状态的理解有了很大的提高。现在已经确定,蛋白质在溶液中存在各种不同的状态,其中许多是高度构象异质性的。即使在其天然状态下,蛋白质也会不断经历结构波动,时间尺度从皮秒到秒甚至更长;这些动力学与生物学相关,并影响各种各样的过程,包括酶催化,配体结合和生物分子复合物的形成。人们也越来越认识到,非天然和天然未折叠状态在分子和细胞生物学的许多方面发挥着至关重要的作用。这些状态还包括在蛋白质生物合成和降解过程中出现的那些状态、由固有非结构化肽和蛋白质填充的那些状态、在蛋白质折叠过程中采样的中间体和过渡状态、以及在一系列神经变性和全身性病症(诸如阿尔茨海默病和帕金森病以及II型糖尿病)中涉及的各种致病性错误折叠的多聚体种类。这类状态对结构测定提出了巨大的挑战,因为在许多情况下,它们具有固有的灵活性和构象高度异质性,有几个因素阻碍了对表现出高度结构异质性的蛋白质状态的实验表征。该提案旨在建立一个通用程序,用于确定蛋白质结构的解决方案,利用NMR化学位移和残余偶极耦合(RDC)提供的信息。有几个因素支持这种方法的新颖性和可行性。首先,化学位移和RDC代表容易获得的NMR观测值,可以在广泛的条件下测量。此外,RDC是溶液中动力学的高度精确探针。这种方法不仅可以扩展的限制,在系统的大小和准确性的动力学描述,常规就业的NMR在折叠蛋白质的研究,但将提供一个前所未有的工具,用于表征结构异质状态的solution.The方法在这里提出的有可能揭示在很大程度上未开发的蛋白质科学领域,涉及蛋白质在高度异质状态。到目前为止,由于不可能在原子级分辨率下进行系统的实验,传统技术无法表征这种状态。因此,我们希望所提出的方法将提供解决分子和细胞生物学中许多悬而未决的问题的手段。我们设想的一些应用将在蛋白质错误折叠和聚集领域,这是与从神经退行性疾病到系统性淀粉样变性的40多种病理条件相关的过程。因此,这种方法将对制药和生物技术研究以及与蛋白质科学相关的一系列学科(包括化学,物理学和生物学)产生重大影响。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Structures of the excited states of phospholamban and shifts in their populations upon phosphorylation.
  • DOI:
    10.1021/bi400517b
  • 发表时间:
    2013-09-24
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    De Simone, Alfonso;Gustavsson, Martin;Montalvao, Rinaldo W.;Shi, Lei;Veglia, Gianluigi;Vendruscoo, Michele
  • 通讯作者:
    Vendruscoo, Michele
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Alfonso De Simone其他文献

Carbohydrate recognition by RpfB from Mycobacterium tuberculosis unveiled by crystallographic and molecular dynamics analyses.
通过晶体学和分子动力学分析揭示了结核分枝杆菌 RpfB 的碳水化合物识别。
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    F. Squeglia;M. Romano;A. Ruggiero;L. Vitagliano;Alfonso De Simone;R. Berisio
  • 通讯作者:
    R. Berisio
MetalHawk: Enhanced Classification of Metal Coordination Geometries by Artificial Neural Networks
MetalHawk:通过人工神经网络增强金属配位几何形状的分类
  • DOI:
    10.1021/acs.jcim.3c00873
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    5.6
  • 作者:
    Gianmattia Sgueglia;Michail D. Vrettas;M. Chino;Alfonso De Simone;Angela Lombardi
  • 通讯作者:
    Angela Lombardi
The N-terminal Acetylation of α-Synuclein Changes the Affinity for Lipid Membranes but not the Structural Properties of the Bound State
α-突触核蛋白的 N 末端乙酰化改变了对脂质膜的亲和力,但不改变结合态的结构特性
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    M. Runfola;Alfonso De Simone;M. Vendruscolo;C. Dobson;Giuliana Fusco
  • 通讯作者:
    Giuliana Fusco
The intrinsic stability of the human prion β-sheet region investigated by molecular dynamics
通过分子动力学研究人朊病毒β-折叠区域的内在稳定性
Developing NMR methods for macromolecular machines: Measurement of residual dipolar couplings to probe dynamic regions of the ribosome
开发大分子机器的核磁共振方法:测量残留偶极耦合以探测核糖体的动态区域
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaolin Wang;J. Kirkpatrick;H. Launay;Alfonso De Simone;D. Häussinger;C. Dobson;M. Vendruscolo;Lisa D. Cabrita;C. Waudby;J. Christodoulou
  • 通讯作者:
    J. Christodoulou

Alfonso De Simone的其他文献

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{{ truncateString('Alfonso De Simone', 18)}}的其他基金

Structure and function of Heparin Binding Hemagglutinin from Mycobacterium tuberculosis
结核分枝杆菌肝素结合血凝素的结构和功能
  • 批准号:
    MR/R000255/1
  • 财政年份:
    2017
  • 资助金额:
    $ 16.36万
  • 项目类别:
    Research Grant
Understanding the Molecular Origins of the Toxicity of Alpha-synuclein in Parkinson's Disease
了解帕金森病中α-突触核蛋白毒性的分子起源
  • 批准号:
    MR/N000676/1
  • 财政年份:
    2016
  • 资助金额:
    $ 16.36万
  • 项目类别:
    Research Grant
Understanding the Critical Step for the Cellular Toxicity of Protein Oligomers.
了解蛋白质寡聚物细胞毒性的关键步骤。
  • 批准号:
    BB/M023923/1
  • 财政年份:
    2015
  • 资助金额:
    $ 16.36万
  • 项目类别:
    Research Grant
New Approaches to Protein Structure Determination Using NMR Spectroscopy
使用核磁共振波谱测定蛋白质结构的新方法
  • 批准号:
    EP/G049998/1
  • 财政年份:
    2010
  • 资助金额:
    $ 16.36万
  • 项目类别:
    Fellowship

相似国自然基金

Lagrangian origin of geometric approaches to scattering amplitudes
  • 批准号:
    24ZR1450600
  • 批准年份:
    2024
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Developing new approaches and improved technologies for the study of membrane protein structure and mechanism
开发膜蛋白结构和机制研究的新方法和改进技术
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ISAMBAARD 中的合理计算蛋白质设计:新方法、折叠和功能
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更好的蛋白质电压传感器的新方法
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更好的蛋白质电压传感器的新方法
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具有超高灵敏度的复杂样品多重蛋白质分析的新方法
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具有超高灵敏度的复杂样品多重蛋白质分析的新方法
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靶向蛋白质-蛋白质相互作用的新肽模拟方法
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