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NATO Advanced Study Institute on Dynamics of Complex Interconnected Biosensor Systems: Networks and Bioprocesses

机译:北约复杂互连生物传感器系统动力学高级研究所:网络和生物过程

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摘要

The book reviews the synergism between various fields of research that are confronted with networks, such as genetic and metabolic networks, social networks, the Internet and ecological systems. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures. Modelling the signal transduction networks in bioprocesses as in living cells is a challenging interdisciplinary research area. It is now realized that the many features of molecular interaction networks within a cell are shared to a large degree by the other complex systems mentioned above, such as the Internet, computer chips and society. Thus knowledge gained from the study of complex non-biological systems can be applied to the intricate braided relationships that govern cellular functions.
机译:该书回顾了网络所面对的各个研究领域之间的协同作用,例如遗传和代谢网络,社交网络,互联网和生态系统。在许多情况下,相互作用的网络会表现出所谓的紧急属性,而任何单个组件都不具备这种属性。这意味着组件的详细知识不足以描述整个系统。最近的工作表明,自然界中的网络具有所谓的无标度特征,并且相关的动态网络建模显示出出乎意料的结果,例如对意外故障的惊人的鲁棒性。在生物过程中以及在活细胞中对信号转导网络进行建模是一个具有挑战性的跨学科研究领域。现在已经认识到,细胞内分子相互作用网络的许多特征在很大程度上被上述其他复杂系统所共享,例如互联网,计算机芯片和社会。因此,从复杂的非生物系统的研究中获得的知识可以应用于控制细胞功能的复杂编织关系。

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