Mesoscopic models of neurotransmission as intermediates between disease simulators and tools for discovering design principles.
Mesoscopic models of neurotransmission as intermediates between disease simulators and tools for discovering design principles.
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神经传递的介观模型作为疾病模拟器和发现设计原理的工具之间的中间体。
DOI：
10.1055/s-0032-1304653
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发表时间：
2012
影响因子：
4.3
通讯作者：
Kikuchi,S
中科院分区：
文献类型：
--
作者：
Voit,EO;Qi,Z;Qui,Z;Kikuchi,S
计算系统生物学的两大挑战被宣布为首要目标。首先是发现网络基序和设计原则，帮助我们理解和合理化为什么生物系统以我们遇到的方式组织，而不是以不同的方式组织。第二个目标是开发支持复杂系统研究的计算模型，特别是作为个性化医疗和预测健康的模拟平台。有趣的是，大多数已发表的生物学系统模型都包含几个到几十个变量。它们通常过于复杂，无法对组织原理进行系统分析，同时又过于粗糙，无法对疾病进行可靠的模拟。虽然过去的建模工作似乎错过了系统生物学宣称的目标，但我们在本文中认为，中型介观模型是在计算系统生物学中追求这两个目标的极好起点。
Two grand challenges have been declared as premier goals of computational systems biology. The first is the discovery of network motifs and design principles that help us understand and rationalize why biological systems are organized in the manner we encounter them rather than in a different fashion. The second goal is the development of computational models supporting the investigation of complex systems, in particular, as simulation platforms in personalized medicine and predictive health. Interestingly, most published systems models in biology contain between a handful and a few dozen variables. They are usually too complicated for systemic analyses of organizing principles, but they are at the same time too coarse to allow reliable simulations of diseases. While it may thus appear that the modeling efforts of the past have missed the declared targets of systems biology, we argue in this article that midsizedmesoscopicmodels are excellent starting points for pursuing both goals in computational systems biology.