Understanding transmembrane helix interaction on the structural level

在结构水平上理解跨膜螺旋相互作用

基本信息

  • 批准号:
    7886793
  • 负责人:
  • 金额:
    $ 2.52万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-07-01 至 2010-12-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Understanding how transmembrane (TM) helices recognize each other is an important and challenging problem. Here I propose to utilize the integrin system to study structural and sequence determinants of TM helix interaction preferences. Integrins are a family of dimeric single-pass membrane proteins that act as cell adhesion receptors. Integrins are known to exist in at least two states - an active state, where they bind extracellular ligands and an inactive state, where this binding does not occur. It has been shown that peptides that interfere-with the dimerization of integrin TM helices, by interacting with one of the monomers, cause integrin activation. The ability to consistently design such peptides de novo critically depends on our understanding of TM helix interaction preferences. Therefore, to study these preferences, I will establish a cycle between the computational design of such peptides and their experimental characterization. I will design: 1) peptides that disrupt the TM helix association of alpha2beta1 and alpha4beta1 by interacting with the alpha subunits and 2) peptides that stabilize the TM helix association of alphallbbetaS by forming a trimeric helix bundle with the native dimer. I will also make use of the fact that integrins are a diverse family (with 18 alpha and 8 beta subunits known in vertebrates) to study the problem of designing TM helix interaction specificity. Integrins are involved in many biologically critical processes and are associated with such human conditions as cancer angiogenesis and metastasis and various bleeding disorders. By deciphering the principles of integrin TM interaction specificity, this work will suggest ways to selectively activate or deactivate particular receptors, which can lead to novel therapies. Additionally, understanding the determinants of TM helix interactions in general will have a wider impact on dissecting transmembrane protein folding and interaction. PUBLIC HEALTH RELEVANCE: Integrins are a family of proteins that that are involved in a great variety of biological processes and human diseases, from immune response and leukocyte trafficking to cancer, development and blot clotting. Central to the function of integrins is the association between their transmembrane (TM) regions. This work will shed light on the principles by which TM regions recognize each other, which will provide a way of controlling integrin activity and will likely lead to novel therapies.
描述(由申请人提供):了解跨膜(TM)螺旋如何相互识别是一个重要且具有挑战性的问题。在这里,我建议利用整合素系统来研究TM螺旋相互作用偏好的结构和序列决定因素。整合素是一类作为细胞黏附受体的二聚体单通膜蛋白家族。已知整合素至少存在两种状态--活性状态和非活性状态,在活性状态下,整合素与细胞外配体结合,在非活性状态下,这种结合不发生。已有研究表明,通过与其中一种单体相互作用,干扰整合素TM螺旋的二聚化的多肽,会引起整合素的激活。能否始终如一地从头设计这样的多肽,关键取决于我们对TM螺旋相互作用偏好的理解。因此,为了研究这些偏好,我将在这些多肽的计算设计和它们的实验表征之间建立一个循环。我将设计:1)通过与α亚基相互作用来破坏α2β1和α4β1的TM螺旋结合的多肽,以及2)通过与天然二聚体形成三聚体螺旋束来稳定AlphallbbetaS的TM螺旋结合的肽。我还将利用整合素是一个多样化的家族的事实(脊椎动物中已知的18个α亚基和8个β亚基)来研究设计TM螺旋相互作用的特异性的问题。整合素参与了许多生物学关键过程,并与癌症、血管生成和转移以及各种出血性疾病等人类疾病有关。通过破译整合素TM相互作用的特异性原理,这项工作将提出选择性激活或去激活特定受体的方法,这可能导致新的治疗方法。此外,了解TM螺旋相互作用的决定因素将对剖析跨膜蛋白折叠和相互作用产生更广泛的影响。与公共健康相关:整合素是一个蛋白质家族,参与多种生物学过程和人类疾病,从免疫反应和白细胞运输到癌症、发育和印迹凝血。整合素功能的核心是它们的跨膜(TM)区域之间的联系。这项工作将阐明TM区域相互识别的原理,这将提供一种控制整合素活性的方法,并可能导致新的治疗方法。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Probing designability via a generalized model of helical bundle geometry.
  • DOI:
    10.1016/j.jmb.2010.08.058
  • 发表时间:
    2011-01-28
  • 期刊:
  • 影响因子:
    5.6
  • 作者:
    Grigoryan G;Degrado WF
  • 通讯作者:
    Degrado WF
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Gevorg Grigoryan其他文献

Gevorg Grigoryan的其他文献

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{{ truncateString('Gevorg Grigoryan', 18)}}的其他基金

Computational design of novel protein binders based on structure mining and learning from data
基于结构挖掘和数据学习的新型蛋白质结合剂的计算设计
  • 批准号:
    10326369
  • 财政年份:
    2020
  • 资助金额:
    $ 2.52万
  • 项目类别:
Computational design of novel protein binders based on structure mining and learning from data
基于结构挖掘和数据学习的新型蛋白质结合剂的计算设计
  • 批准号:
    9887271
  • 财政年份:
    2020
  • 资助金额:
    $ 2.52万
  • 项目类别:
Computational design of novel protein binders based on structure mining and learning from data
基于结构挖掘和数据学习的新型蛋白质结合剂的计算设计
  • 批准号:
    10079500
  • 财政年份:
    2020
  • 资助金额:
    $ 2.52万
  • 项目类别:
Computational design of novel protein binders based on structure mining and learning from data
基于结构挖掘和数据学习的新型蛋白质结合剂的计算设计
  • 批准号:
    10541909
  • 财政年份:
    2020
  • 资助金额:
    $ 2.52万
  • 项目类别:
Understanding transmembrane helix interaction on the structural level
在结构水平上理解跨膜螺旋相互作用
  • 批准号:
    7677038
  • 财政年份:
    2009
  • 资助金额:
    $ 2.52万
  • 项目类别:
Project 3: Protein Design for Selective Interference with LPA Signaling in Colon Cancer
项目 3:选择性干扰结肠癌 LPA 信号传导的蛋白质设计
  • 批准号:
    8813298
  • 财政年份:
  • 资助金额:
    $ 2.52万
  • 项目类别:

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