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    Computational Investigation of Protein Photoinactivation by Molecular Hyperthermia

    Source: Journal of Biomechanical Engineering:;2020:;volume( 143 ):;issue: 003::page 031004-1
    Author:
    Kang, Peiyuan
    ,
    Xie, Chen
    ,
    Fall, Oumar
    ,
    Randrianalisoa, Jaona
    ,
    Qin, Zhenpeng
    DOI: 10.1115/1.4049017
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: To precisely control protein activity in a living system is a challenging yet long-pursued objective in biomedical sciences. Recently, we have developed a new approach named molecular hyperthermia (MH) to photoinactivate protein activity of interest without genetic modification. MH utilizes nanosecond laser pulse to create nanoscale heating around plasmonic nanoparticles to inactivate adjacent protein in live cells. Here we use a numerical model to study important parameters and conditions for MH to efficiently inactivate proteins in nanoscale. To quantify the protein inactivation process, the impact zone is defined as the range where proteins are inactivated by the nanoparticle localized heating. Factors that reduce the MH impact zone include the laser pulse duration, temperature-dependent thermal conductivity (versus constant properties), and nonspherical nanoparticle geometry. In contrast, the impact zone is insensitive to temperature-dependent material density and specific heat, as well as thermal interface resistance based on reported data in the literature. The low thermal conductivity of cytoplasm increases the impact zone. Different proteins with various Arrhenius kinetic parameters have significantly different impact zones. This study provides guidelines to design the protein inactivation process by MH.
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      Computational Investigation of Protein Photoinactivation by Molecular Hyperthermia

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4277514
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    contributor authorKang, Peiyuan
    contributor authorXie, Chen
    contributor authorFall, Oumar
    contributor authorRandrianalisoa, Jaona
    contributor authorQin, Zhenpeng
    date accessioned2022-02-05T22:25:36Z
    date available2022-02-05T22:25:36Z
    date copyright12/10/2020 12:00:00 AM
    date issued2020
    identifier issn0148-0731
    identifier otherbio_143_03_031004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277514
    description abstractTo precisely control protein activity in a living system is a challenging yet long-pursued objective in biomedical sciences. Recently, we have developed a new approach named molecular hyperthermia (MH) to photoinactivate protein activity of interest without genetic modification. MH utilizes nanosecond laser pulse to create nanoscale heating around plasmonic nanoparticles to inactivate adjacent protein in live cells. Here we use a numerical model to study important parameters and conditions for MH to efficiently inactivate proteins in nanoscale. To quantify the protein inactivation process, the impact zone is defined as the range where proteins are inactivated by the nanoparticle localized heating. Factors that reduce the MH impact zone include the laser pulse duration, temperature-dependent thermal conductivity (versus constant properties), and nonspherical nanoparticle geometry. In contrast, the impact zone is insensitive to temperature-dependent material density and specific heat, as well as thermal interface resistance based on reported data in the literature. The low thermal conductivity of cytoplasm increases the impact zone. Different proteins with various Arrhenius kinetic parameters have significantly different impact zones. This study provides guidelines to design the protein inactivation process by MH.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComputational Investigation of Protein Photoinactivation by Molecular Hyperthermia
    typeJournal Paper
    journal volume143
    journal issue3
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4049017
    journal fristpage031004-1
    journal lastpage031004-13
    page13
    treeJournal of Biomechanical Engineering:;2020:;volume( 143 ):;issue: 003
    contenttypeFulltext
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