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Project Summary Membrane receptors on cell surfaces constitute around 60% of approved drug targets on the pharmaceutical market. In most cases, they bind to extracellular ligands and initiate various intracellular signaling pathways.  This process underlies many cellular activities such as adhesion and apoptosis. Recent studies further showed that specificity of receptors binding can be modulated by synthesizing chimeric ligands that artificially conjugate different subunits of molecular ligands together. This provides a promising strategy to improve the efficiency and selectivity of drug-based therapies. However, our understanding to the cellular functions of membrane receptors is largely limited by the fact that in vivo binding of receptors has only been successfully measured in a very small number of cases. Most methods isolate receptors and ligands from their biological surrounding in order to permit a more convenient analysis. In living cells, receptors are anchored on surfaces of plasma membrane. The membrane confinement significantly affects binding kinetics of receptors. Moreover, binding can also be regulated by the flexibility and multivalency of chimeric ligands. These multi-level complexities lead to the difficulty in quantifying binding kinetics of membrane receptors on cell surfaces. Computational modeling can reach dimensions that are currently unapproachable in the laboratory. Thus, the objective of this proposal is to build integrative models at different scales for studying the binding kinetics of cell surface receptors with their extracellular protein ligands. We have developed different methods for simulating protein binding kinetics on the molecular and lower-resolution levels. Through the application of these methods to specific testing systems of T cell and costimulatory receptors, and the establishment of ongoing experimental collaborations, we are specifically interested in answering the following two questions: how does membrane confinement affect binding between receptors and ligands, and what are the functional roles of multivalent ligands in regulating receptor binding. Using the information derived from these two aspects of studies, we will further construct a multiscale modeling framework to quantitatively calculate the kinetics of binding between multivalent ligands and multiple receptors on cell surfaces. Our long-term goal is to practically design multivalent ligands for specific membrane receptors so that cell signaling can be artificially modulated. In summary, this study will sheds light on both basic mechanisms of ligand-receptor interactions and design principles of new drug candidates. Moreover, the multiscale model can be applied to specific membrane receptor systems.
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DOI: 10.1371/journal.pcbi.1008825
发表时间: 2021-03
期刊: PLoS computational biology
影响因子: 4.3
作者: [Su Z, Dhusia K, Wu Y]
通讯作者: Wu Y
DOI: 10.1016/j.str.2018.07.010
发表时间: 2018-10-02
期刊: Structure (London, England : 1993)
影响因子: --
作者: [Wang B, Xie ZR, Chen J, Wu Y]
通讯作者: Wu Y
DOI: 10.1016/j.bbamcr.2019.118612
发表时间: 2019-11
期刊: Biochimica et biophysica acta. Molecular cell research
影响因子: --
作者: [Zhaoqian Su;Yinghao Wu]
通讯作者: Zhaoqian Su;Yinghao Wu
DOI: 10.1016/j.gpb.2021.03.004
发表时间: 2021-12
期刊: GENOMICS PROTEOMICS & BIOINFORMATICS
影响因子: 9.5
作者: [Wang, Bo, Su, Zhaoqian, Wu, Yinghao]
通讯作者: Wu, Yinghao
12
    Computational models for the signaling of tumor necrosis factor receptor on cell surfaces
    Computational models for the signaling of tumor necrosis factor receptor on cell surfaces
    A multiscale model for binding kinetics of membrane receptors on cell surfaces
    A multiscale model for binding kinetics of membrane receptors on cell surfaces
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