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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/61970

    Title: 計算系統生物學方法來模擬急性與慢性發炎;Computational Systems Biology to Model Acute and Chronic Inflammation
    Authors: 王孫崇
    Contributors: 國立中央大學系統生物與生物資訊研究所
    Keywords: 物理;資訊科學;軟體;生物技術(醫)
    Date: 2014-03-11
    Issue Date: 2014-03-11 13:09:02 (UTC+8)
    Publisher: 行政院國家科學委員會
    Abstract: 研究期間:10308~10407;Interactions among biomolecules such as genes, proteins and metabolites form a complex network consisting of nested feedback and feedforward loops. Comprehension of the behavior of a whole biological system through dynamics of the interacting parts in isolation has been regarded as less successful. Approaches of systems biology aim to address the complexity issue by integrating functional knowledge from genome-scale experimental data and mathematic models with mutl-level dynamic equations. Inflammation is an evolutionarily conserved innate immune response of higher organisms to microbes or injuries. Acute inflammation resolves inflection and promotes wound healing. Unresolved inflammation due to persistent infection or dysfunctional immunity undermines healing, leading to chronic inflammation. Inflammatory response exhibits circadian rhythms in clinical observations. Stress, psychological or physiological, suppresses immunity. We propose to study effects of temporal stress profiles on inflammatory response through computational systems biology approaches.
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[系統生物與生物資訊研究所] 研究計畫

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