Emergent systems energy laws for predicting myosin ensemble processivity.
Emergent systems energy laws for predicting myosin ensemble processivity.
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DOI：
10.1371/journal.pcbi.1004177
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发表时间：
2015-04
影响因子：
4.3
通讯作者：
LeDuc P
中科院分区：
文献类型：
--
作者：
Egan P;Moore J;Schunn C;Cagan J;LeDuc P
在具有随机组件的复杂系统中，通常会出现描述高层行为的系统定律，而不考虑低层组件的配置。本文研究了进展性肌球蛋白-肌动蛋白运动系统中描述机械化学系统的涌现规律。基于先前的实验证据，更大的肌凝蛋白集合可以实现更长的过程寿命，假设紧急标度定律可能与肌凝蛋白-肌动蛋白接触概率或系统能量消耗相一致。由于过程性难以通过分析和实验来预测和测量，因此基于智能体的计算技术被用于模拟过程肌球蛋白集合并产生新的过程寿命测量。证明了系统的能量关系不论同形构型或系综大小都是成立的，并给出了预测过程寿命的统一表达式。这些规律的发现为随机机械化学系统中的模式如何出现提供了见解，同时也为复杂生物系统的理解和工程提供了信息。复杂的生物系统由许多以不明显方式相互作用的部分组成。在这些系统中，组织水平经常出现，如细胞形成组织，组织形成器官，器官相互作用形成完整生物体的情况所证明的那样。我们假设存在一些定律，这些定律描述了系统在一个层面上的功能，独立于其他层面的配置。这一假设通过对运动蛋白系统的模拟进行了验证，并证明了它们的行为模式是在系统水平上出现的。结果表明，关于能量利用的法律预测这些系统在解离之前的寿命，而不考虑系统中存在的成分。这些发现揭示了简化复杂系统分析的组织规律，可以促进生物技术的工程设计方法。
In complex systems with stochastic components, systems laws often emerge that describe higher level behavior regardless of lower level component configurations. In this paper, emergent laws for describing mechanochemical systems are investigated for processive myosin-actin motility systems. On the basis of prior experimental evidence that longer processive lifetimes are enabled by larger myosin ensembles, it is hypothesized that emergent scaling laws could coincide with myosin-actin contact probability or system energy consumption. Because processivity is difficult to predict analytically and measure experimentally, agent-based computational techniques are developed to simulate processive myosin ensembles and produce novel processive lifetime measurements. It is demonstrated that only systems energy relationships hold regardless of isoform configurations or ensemble size, and a unified expression for predicting processive lifetime is revealed. The finding of such laws provides insight for how patterns emerge in stochastic mechanochemical systems, while also informing understanding and engineering of complex biological systems. Complex biological systems consist of many parts that interact in non-obvious ways. In these systems, levels of organization often emerge, as evidenced by cases where cells form tissues, tissues form organs, and organs interact to form complete organisms. We hypothesized that that laws exist that describe system functioning at one level, independently of the configuration at other levels. The hypothesis was tested using simulations of motor protein systems, and demonstrated that patterns in their behavior emerge at a systems level. Results demonstrated a law concerning energy utilization predicts the lifetime of these systems before dissociation, regardless of the components present in the system. These findings reveal organizational laws that simplify complex systems analysis and can facilitate engineering design approaches for bio-based technologies.
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