Zou G, Phillips G N
Department of Computer Science, W.M. Keck Center for Computational Biology, Rice University, Houston, Texas 77251-1892.
Biophys J. 1994 Jul;67(1):11-28. doi: 10.1016/S0006-3495(94)80475-8.
Regulation of skeletal muscle contraction is achieved through the interaction of six different proteins: actin, myosin, tropomyosin, and troponins C, I, and T. Many experiments have been performed on the interactions of these proteins, but comparatively less effort has been spent on attempts to integrate the results into a coherent description of the system as a whole. In this paper, we present a new way of approaching the integration problem by using a cellular automaton. We assign rate constants for state changes within each constituent molecule of the muscle thin filament as functions of the states of its neighboring molecules. The automaton shows how the interactions among constituent molecules give rise to the overall regulatory behavior of thin filaments as observed in vitro and is extendable to in vivo measurements. The model is used to predict myosin binding and ATPase activity, and the result is compared with various experimental data. Two important aspects of regulation are revealed by the requirement that the model fit the experimental data: (1) strong interactions must exist between two successively bound myosin heads, and (2) the cooperative binding of calcium to the thin filament can be attributed in a simple way to the interaction between neighboring troponin-tropomyosin units.
肌动蛋白、肌球蛋白、原肌球蛋白以及肌钙蛋白C、I和T。针对这些蛋白质之间的相互作用已开展了许多实验,但在将这些结果整合为对整个系统的连贯描述方面所做的努力相对较少。在本文中,我们提出了一种通过使用细胞自动机来解决整合问题的新方法。我们将肌肉细肌丝每个组成分子内状态变化的速率常数指定为其相邻分子状态的函数。该自动机展示了组成分子之间的相互作用如何产生体外观察到的细肌丝的整体调节行为,并且可扩展到体内测量。该模型用于预测肌球蛋白结合和ATP酶活性,并将结果与各种实验数据进行比较。模型拟合实验数据的要求揭示了调节的两个重要方面:(1)两个相继结合的肌球蛋白头部之间必须存在强相互作用,(2)钙与细肌丝的协同结合可以简单地归因于相邻肌钙蛋白 - 原肌球蛋白单元之间的相互作用。