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    The dynamic multisite interactions between two intrinsically disordered proteins

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    Type
    Article
    Authors
    Wu, Shaowen
    Wang, Dongdong
    Liu, Jin
    Feng, Yitao
    Weng, Jingwei
    Li, Yu
    Gao, Xin cc
    Liu, Jianwei
    Wang, Wenning cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Computational Bioscience Research Center (CBRC)
    Date
    2017-05-24
    Online Publication Date
    2017-05-24
    Print Publication Date
    2017-06-19
    Permanent link to this record
    http://hdl.handle.net/10754/623649
    
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    Abstract
    Protein interactions involving intrinsically disordered proteins (IDPs) comprise a variety of binding modes, from the well characterized folding upon binding to dynamic fuzzy complex. To date, most studies concern the binding of an IDP to a structured protein, while the Interaction between two IDPs is poorly understood. In this study, we combined NMR, smFRET, and molecular dynamics (MD) simulation to characterize the interaction between two IDPs, the C-terminal domain (CTD) of protein 4.1G and the nuclear mitotic apparatus (NuMA) protein. It is revealed that CTD and NuMA form a fuzzy complex with remaining structural disorder. Multiple binding sites on both proteins were identified by MD and mutagenesis studies. Our study provides an atomic scenario in which two IDPs bearing multiple binding sites interact with each other in dynamic equilibrium. The combined approach employed here could be widely applicable for investigating IDPs and their dynamic interactions.
    Citation
    Wu S, Wang D, Liu J, Feng Y, Weng J, et al. (2017) The dynamic multisite interactions between two intrinsically disordered proteins. Angewandte Chemie International Edition. Available: http://dx.doi.org/10.1002/anie.201701883.
    Sponsors
    This work was supported by National Major Basic Research Program of China (2016YFA0501702), National Science Foundation of China (21473034, 21375028, 21273188), Specialized Research Fund for the Doctoral Program of Higher Education (20130071140004). X. G. and Y. L. thanks the support by funding from King Abdullah University of Science and Technology (KAUST). This research made use of the resources of the computer clusters at KAUST and the computer center at Fudan University.
    Publisher
    Wiley
    Journal
    Angewandte Chemie
    DOI
    10.1002/anie.201701883
    10.1002/ange.201701883
    Additional Links
    http://onlinelibrary.wiley.com/doi/10.1002/anie.201701883/abstract
    ae974a485f413a2113503eed53cd6c53
    10.1002/anie.201701883
    Scopus Count
    Collections
    Articles; Computer Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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