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Effects of HIV-1 Proteins on the Fas-Mediated Apoptotic Signaling Cascade: A Computational Study of Latent CD4+ T Cell Activation

机译:HIV-1蛋白对Fas介导的凋亡信号通路的影响:潜在CD4 + T细胞活化的计算研究。

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摘要

We present a new model for simulating Fas-induced apopto-sis in HIV-1-infected CD4+ T cells. Moreover, the reactivation of latently infected cells is explored. The work, an extension of our previous modeling efforts, is the first attempt in systems biology for modeling the Fas pathway in the latently infected cells. These enigmatic cells are considered the last barrier in the elimination of HIV infection. In building the model, we gathered what reaction rates and initial conditions are available from the literature. For the unknown constants, we fit the model to the available information on the observed effects of HIV-1 proteins in activated CD4+ T cells. We provide results, using the Nondetermin-istic Waiting Time (NWT) algorithm, from the model, simulating the infection of activated CD4+ T cells as well as the reactivation of a latently infected cells. These two model versions are distinct with respect to the initial conditions - multiplicities and locations of proteins at the beginning of the simulation.
机译:我们提出了一个新的模型,用于模拟Fas诱导的HIV-1感染的CD4 + T细胞中的凋亡。此外,探索了潜在感染细胞的活化。该工作是我们先前建模工作的扩展,是系统生物学中首次在潜伏感染细胞中对Fas途径建模的尝试。这些神秘细胞被认为是消除HIV感染的最后障碍。在建立模型时,我们收集了可从文献中获得的反应速率和初始条件。对于未知常数,我们将模型拟合为可用信息,以了解在活化CD4 + T细胞中HIV-1蛋白的作用。我们使用模型的不确定等待时间(NWT)算法提供结果,模拟激活的CD4 + T细胞的感染以及潜在感染细胞的重新激活。这两个模型版本在初始条件方面是不同的-模拟开始时蛋白质的多重性和位置。

著录项

  • 来源
    《Membrane computing》|2008年|246-259|共14页
  • 会议地点 Edinburgh(GB);Edinburgh(GB)
  • 作者单位

    Department of Computer Science/IfM Louisiana Tech University, P.O. Box 10348, Ruston, LA 71272, USA;

    Department of Computer Science/IfM Louisiana Tech University, P.O. Box 10348, Ruston, LA 71272, USA Departamento de Inteligencia Artificial, Facultad de Informatica Universidad Politecnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660 Madrid, Spain Bioinformatics Department, National Institute of Research and Development for Biological Sciences, Splaiul Independentei, Nr. 296, Sector 6, Bucharest, Romania;

    Departamento de Inteligencia Artificial, Facultad de Informatica Universidad Politecnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660 Madrid, Spain;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 混合集成电路;
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