Biomolecular Recognition and Binding Mechanisms
Biomolecular Recognition and Binding Mechanisms
批准号:
7291812
负责人:
Ruth Nussinov
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至
中文摘要
蛋白质是细胞的“工作马匹”。它们的作用涵盖了多种功能,如分子机器和信号传递。它们进行催化反应,运输,形成病毒衣壳,穿过细胞膜,形成受调控的通道,将信息从DNA传递到RNA,使新蛋白质的合成成为可能,并负责不必要的蛋白质和核酸的降解。它们是免疫反应的载体,负责病毒进入细胞。鉴于它们的重要性,相当大的努力集中在蛋白质功能的预测上。预测蛋白质功能的一个主要方法是通过鉴定结合伙伴。如果至少一个与蛋白质相互作用的成分的功能是已知的,这应该有助于确定它的功能(S)和它所起作用的途径(S)。这一点是成立的,因为它们在活细胞中的绝大多数家务都涉及蛋白质与蛋白质的相互作用。蛋白质永远不会在孤立的情况下发挥作用。因此,通过蛋白质-蛋白质相互作用的复杂网络,我们可以绘制细胞路径、它们的互联性和它们的动态调节。鉴定蛋白质之间的相互作用是功能基因组学的核心。蛋白质-蛋白质相互作用的预测对于药物开发至关重要。对该途径、其拓扑、长度和动力学的了解可能为预测副作用提供有用的信息。然而,预测蛋白质相互作用的目标令人望而生畏。有些联想是强制性的,而另一些则在不断地形成和分离。原则上,从物理角度来看,任何两种蛋白质都可以相互作用。问题是在什么条件下,以何种力量。蛋白质-蛋白质相互作用的原理是一般的:两种蛋白质的非共价相互作用主要是疏水效应的结果。疏水效应驱动蛋白质之间的相互作用。此外,氢键和静电相互作用也起着重要作用。因此,在体外观察到的许多相互作用都是实验过度表达的结果。这使功能预测变得复杂。高能热点占总结合自由能的很大一部分,并与结构保守的界面残基相关。我们绘制了实验确定的热点和结构保守的残基图,以研究它们的几何组织。“未填满的口袋”是指蛋白质-蛋白质络合后仍未填满的口袋,而“补充袋”是指结合后消失的口袋,代表紧密贴合的区域。我们发现,结构保守的残基和高能热点强烈倾向于位于互补口袋中,而不利于位于未填充口袋中。对于三个具有互补口袋的可用蛋白质-蛋白质复合体,其中两个复合体成员都被丙氨酸扫描,62%的热点(DeltaDeltaG大于2kcal/mol)位于这些口袋中,并且60%的互补口袋中的残基是热点。93%的“红热”残基(DeltaDeltaG大于4千卡/摩尔)要么突出到补充袋中,要么位于补充袋中。热点和保守残基的出现突显了局部紧密堆积在蛋白质缔合中的作用,并使其能量贡献和守恒合理化。互补的口袋及其相应的突出残基出现在蛋白质-蛋白质相互作用的最重要的几何特征中。通过筛选溶剂,该组织屏蔽了主链氢键和电荷-电荷相互作用。补足的口袋往往是预先存在的捆绑。对于19个具有互补口袋的蛋白质-蛋白质复合体,其未结合结构也是可用的,其中16个口袋预先存在于未结合结构中。
英文摘要
Proteins are the "working horse" of the cell. Their roles span functions as diverse as being molecular machines and signaling. They carry out catalytic reactions, transport, form the viral capsids, traverse the membranes and form regulated channels, transmit the information from the DNA to RNA, making possible the synthesis of new proteins, and they are responsible for the degradation of the unnecessary proteins and nucleic acids. They are the vehicles of the immune response and are responsible for viral entry into the cell. Given their importance, considerable effort has been centered on the prediction of protein function. A prime way to predict protein function is through identification of binding partners. If the function of at least one of the components with which the protein interacts is known, that should facilitate assigning its function(s) and the pathway(s) in which it plays a role. This holds since the vast majority of their chores in the living cell involve protein-protein interactions. Proteins never function in isolation. Hence, through the intricate network of protein-protein interactions we can map cellular pathways, their interconnectivities and their dynamic regulation. Identification of protein-protein interactions is at the heart of functional genomics. Prediction of protein-protein interactions is crucial for drug discovery. Knowledge of the pathway, its topology, length, and dynamics may provide useful information for forecasting side effects. Yet, the goal of predicting protein-protein interaction is daunting. Some associations are obligatory, whereas others are continuously forming and dissociating. In principle, from the physical standpoint, any two proteins can interact. The question is under what conditions and at which strength. The principles of protein-protein interactions are general: The non-covalent interactions of two proteins are largely the outcome of the hydrophobic effect. The hydrophobic effect drives protein-protein interactions. In addition, hydrogen bonds and electrostatic interactions play important roles. Thus, many of the interactions observed in vitro are the outcome of experimental over-expression. This complicates the functional prediction. Energetic hot spots account for a significant portion of the total binding free energy and correlate with structurally conserved interface residues. We map experimentally determined hot spots and structurally conserved residues to investigate their geometrical organization. 'Unfilled pockets' are pockets that remain unfilled after protein-protein complexation, while 'complemented pockets' are pockets that disappear upon binding, representing tightly fit regions. We find that structurally conserved residues and energetic hot spots are strongly favored to be located in complemented pockets, and disfavored in unfilled pockets. For the three available protein-protein complexes with complemented pockets where both complex-members were alanine-scanned, 62% of all hot spots (DeltaDeltaG greater than 2 kcal/mol) are within these pockets, and 60% of the residues in the complemented pockets are hot spots. 93% of all "redhot" residues (DeltaDeltaG greater than 4 kcal/mol) either protrude into or are located in complemented pockets. The occurrence of hot spots and conserved residues in complemented pockets highlights the role of local tight packing in protein associations, and rationalizes their energy contribution and conservation. Complemented pockets and their corresponding protruding residues emerge among the most important geometric features in protein-protein interactions. By screening the solvent, this organization shields backbone hydrogen bonds and charge-charge interactions. Complemented pockets often pre-exist binding. For 19 protein-protein complexes with complemented pockets whose unbound structures are also available, in 16 the pockets pre-exist in the unbound structures.
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Method Development: Efficient Computer Vision Based Algo
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批准号:7291814
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项目类别:
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资助金额:$0.0万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Protein Structure, Stability, and Amyloid Formation
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批准号:8552693
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项目类别:
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资助金额:$53.14万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Method Development: Efficient Computer Vision Based Algorithms
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批准号:8937737
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项目类别:
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资助金额:$10.87万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Biomolecular Recognition and Binding Mechanisms
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批准号:9153571
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项目类别:
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资助金额:$43.97万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Method Development: Efficient Computer Vision Based Algorithms
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批准号:8349006
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项目类别:
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资助金额:$12.85万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Protein Structure, Stability, and Amyloid Formation
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批准号:8349004
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项目类别:
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资助金额:$64.26万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Biomolecular Recognition and Binding Mechanisms
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批准号:8349005
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项目类别:
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资助金额:$51.4万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Biomolecular Recognition and Binding Mechanisms
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批准号:10014370
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项目类别:
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资助金额:$68.71万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Method Development: Efficient Computer Vision Based Algorithms
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批准号:10262089
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项目类别:
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资助金额:$11.83万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Biomolecular Recognition and Binding Mechanisms
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批准号:10262088
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项目类别:
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资助金额:$47.34万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Method Development: Efficient Computer Vision Based Algorithms
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批准号:7965320
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项目类别:
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资助金额:$13.03万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Protein Structure, Stability, and Amyloid Formation
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批准号:7338385
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项目类别:
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资助金额:$0.0万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Method Development: Efficient Computer Vision Based Algo
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批准号:7338445
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项目类别:
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资助金额:$0.0万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Biomolecular Recognition and Binding Mechanisms
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批准号:8552694
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项目类别:
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资助金额:$42.51万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Method Development: Efficient Computer Vision Based Algorithms
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批准号:8552695
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项目类别:
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资助金额:$10.63万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Method Development: Efficient Computer Vision Based Algorithms
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批准号:8763103
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项目类别:
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资助金额:$9.89万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Protein Structure, Stability, and Amyloid Formation
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批准号:10702352
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项目类别:
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资助金额:$69.45万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Biomolecular Recognition and Binding Mechanisms
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批准号:7733032
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项目类别:
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资助金额:$67.32万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Protein Structure, Stability, and Amyloid Formation
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批准号:7592701
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项目类别:
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资助金额:$57.07万
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财政年份:--
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负责人:Ruth Nussinov
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依托单位:
Protein Structure, Stability, and Amyloid Formation
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批准号:10262087
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项目类别:
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资助金额:$59.17万
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财政年份:--
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负责人:Ruth Nussinov
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国内基金
海外基金
基于Recognition-VR 虚拟现实的“家庭-社区-医院三向联动”轻度认知障碍防治模式研究
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批准号:2021JJ60094
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项目类别:省市级项目
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资助金额:--
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批准年份:2021
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负责人:谢丽琴
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