Conformational sub-states in enzyme catalysis: Applications to ribonuclease

酶催化中的构象亚状态:在核糖核酸酶中的应用

基本信息

项目摘要

DESCRIPTION (provided by applicant): Enzymes perform the designated function of catalyzing chemical reactions by serving more than a scaffold for bringing together the reactants. The role of structure in enzyme function has been known for more than a century now; however, more recent evidence suggests that a functioning enzyme exists in an ensemble of conformations under ambient physiological conditions. The ensemble view of enzyme structure suggests that it can sample conformational sub-states that exhibit function promoting structural and dynamical features. Further, evidence from experiments and computational modeling suggest that transitions between these conformational sub-states enable substrate recognition and catalysis. Quantitative insights into these functionally relevant sub-states remains challenging, particularly due to the wide range of time-scales involved, limited window of resolution for individual techniques and the fact that some of the sub-states can be potentially short-lived. We address these issues by developing a joint computational-experimental framework to identify and characterize such functionally relevant sub-states in the context of enzyme function. In addition to identifying structural intermediates, our framework will quantify the relative population of the conformations in various sub-states as well as enable their linkage to kinetics of enzyme function through the catalytic cycle. This integrated approach will be used to investigate the bio-medically relevant ribonuclease (RNase) family of proteins and enzymes. In particular, we will: (1) Develop a theoretical framework to identify and characterize the multi-scale hierarchy in the conformational landscape of proteins; (2) Utilize the developed framework to investigate the RNase fold members and their ability to access distinct conformational sub-states, including functionally relevant sub-states along the catalytic cycle; (3) Validate the developed model and predicted sub- states by integrating nuclear magnetic resonance (NMR) relaxation dispersion experiments. The developed methodology and models will be improved by iterative interaction between the 3 PIs with different expertise spanning theoretical biophysics, computational simulations and experimental techniques. Overall, our studies will have implications in the design of novel inhibitors of RNase function in the context of neurotoxicity, angiogenesis and anti-pathogenicity.
描述(由申请人提供):酶通过充当多个将反应物聚集在一起的支架来执行催化化学反应的指定功能。结构在酶功能中的作用已经被人们认识了世纪;然而,最近的证据表明,在环境生理条件下,功能酶存在于构象的集合中。酶结构的系综观点表明,它可以对表现出促进结构和动力学特征的功能的构象亚状态进行采样。此外,来自实验和计算建模的证据表明,这些构象子状态之间的转换使底物识别和催化成为可能。对这些功能相关的子状态的定量洞察仍然具有挑战性,特别是由于所涉及的时间尺度范围广,单个技术的分辨率窗口有限,以及一些子状态可能潜在地 短命的我们解决这些问题,通过开发一个联合计算实验框架,以确定和表征这种功能相关的子状态的酶功能的背景下。除了识别结构中间体,我们的框架将量化的相对人口的构象在不同的子状态,以及使他们的联系,通过催化循环的酶功能的动力学。这种综合方法将用于研究生物医学相关的核糖核酸酶(RNase)家族的蛋白质和酶。我们尤其会:(1)建立一个理论框架来识别和表征蛋白质构象景观中的多尺度层次结构;(2)利用所建立的框架来研究RNase折叠成员及其进入不同构象亚态的能力,包括沿着催化循环的功能相关亚态;(3)结合核磁共振(NMR)弛豫色散实验,验证了所提出的模型和预测的亚态.开发的方法和模型将通过3个具有不同专业知识的PI之间的迭代交互来改进,这些专业知识涵盖理论生物物理学,计算模拟和实验技术。总体而言,我们的研究将在神经毒性,血管生成和抗病原性的背景下,在设计新的抑制剂的RNA酶功能的影响。

项目成果

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Pratul K Agarwal其他文献

Pratul K Agarwal的其他文献

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{{ truncateString('Pratul K Agarwal', 18)}}的其他基金

Biophysical Model of Enzyme Catalysis: Conformational sub-states, solvent coupling and energy networks
酶催化的生物物理模型:构象亚态、溶剂耦合和能量网络
  • 批准号:
    10735359
  • 财政年份:
    2023
  • 资助金额:
    $ 51.39万
  • 项目类别:
Conformational sub-states in enzyme catalysis: Applications to ribonuclease
酶催化中的构象亚状态:在核糖核酸酶中的应用
  • 批准号:
    9040996
  • 财政年份:
    2014
  • 资助金额:
    $ 51.39万
  • 项目类别:
Accelerating Biomolecular Simulations on Reconfigurable Computing Hardware
加速可重构计算硬件上的生物分子模拟
  • 批准号:
    7532368
  • 财政年份:
    2008
  • 资助金额:
    $ 51.39万
  • 项目类别:
Accelerating Biomolecular Simulations on Reconfigurable Computing Hardware
加速可重构计算硬件上的生物分子模拟
  • 批准号:
    7674796
  • 财政年份:
    2008
  • 资助金额:
    $ 51.39万
  • 项目类别:

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