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    Conserved Conformational Dynamics Control PTP1B Enzymatic Activity

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    azu_etd_18801_sip1_m.pdf
    Embargo:
    2026-05-26
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    Author
    Torgeson Pelletier, Kristiane
    Issue Date
    2021
    Keywords
    Enzyme dynamics
    Enzyme mechansim
    nuclear magnetic resonance (NMR)
    protein tyrosine phosphatase
    PTP1B
    x-ray crystallography
    Advisor
    Page, Rebecca
    Marty, Micheal
    
    Metadata
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    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Embargo
    Release after 05/26/2026
    Abstract
    The long-accepted paradigm of biochemistry is that enzyme function depends on the three-dimensional (3D) structure. However, this paradigm is changing. Namely, the emerging view is that protein function also depends on intrinsic protein dynamics. Further, while sequence conservation is well-correlated with conservation of structure, it is unknown if sequence also conserves protein dynamics. To understand the role of dynamics, and its potential conservation, on enzyme function we studied Protein Tyrosine Phosphatase 1B (PTP1B), one of the most well-studied PTPs, as a model system. First, to establish a comprehensive understanding of PTP1B dynamics, we performed a full 13C methyl relaxation study of Ile, Leu and Val (ILV) residues of PTP1B. In combination with earlier published 15N experiments, these data provided a detailed understanding of PTP1B protein motions on different timescales allowing their influence on PTP1B function to be defined. Second, by applying co-evolutionary coupling analysis, we identified an evolutionarily conserved domain that controls PTP1B turnover. Through a combination of biochemical and biophysical techniques, our study shows that the increase in activity of PTP1B is solely achieved through a change in the underlying dynamics. These data demonstrate that within the sequence is conserved the information not only for structure but also dynamics which work together to optimize protein function. Further, our study shows that ED analysis provides valuable insights to improve the catalytic efficiency of enzymes far distant from the catalytic center as well as that it has the power to identify novel regulatory elements (therapeutic binding pockets) that can be leveraged for the control of enzymes.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Biochemistry
    Degree Grantor
    University of Arizona
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