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首页> 外文期刊>Advances in Experimental Medicine and Biology >Modeling Biomolecular Site Dynamics Immunoreceptor Signaling Systems
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Modeling Biomolecular Site Dynamics Immunoreceptor Signaling Systems

机译:模拟生物分子位点动态免疫受体信号系统

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The immune system plays a central role in human health. The activities of immune cells, whether defending an organism from disease or triggering a pathological condition such as autoimmunity, are driven by the molecular machinery of cellular signaling systems. Decades of experimentation have elucidated many of the biomolecules and interactions involved in immune signaling and regulation, and recently developed technologies have led to new types of quantitative, systems-level data. To integrate such information and develop nontrivial insights into the immune system, computational modeling is needed, and it is essential for modeling methods to keep pace with experimental advances. In this chapter, we focus on the dynamic, site-specific, and context-dependent nature of interactions in immunoreceptor signaling (i.e., the biomolecular site dynamics of immunoreceptor signaling), the challenges associated with capturing these details in computational models, and how these challenges have been met through use of rule-based modeling approaches.
机译:免疫系统在人类健康中起着核心作用。免疫细胞的活动,无论是保护有机体免受疾病侵害还是引发病理状况,例如自身免疫,都是由细胞信号系统的分子机制驱动的。数十年的实验阐明了免疫信号和调节中涉及的许多生物分子和相互作用,最近开发的技术导致了新型的定量,系统级数据。为了将此类信息整合并发展到免疫系统中,我们需要进行计算建模,这对于建模方法紧跟实验进展至关重要。在本章中,我们着重于免疫受体信号相互作用的动态,特定于位点和上下文相关的性质(即免疫受体信号的生物分子位点动力学),在计算模型中捕获这些细节所带来的挑战以及这些如何通过使用基于规则的建模方法已经解决了挑战。

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