Agmon Eran, Spangler Ryan K
Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Entropy (Basel). 2020 Sep 29;22(10):1101. doi: 10.3390/e22101101.
The degree to which we can understand the multi-scale organization of cellular life is tied to how well our models can represent this organization and the processes that drive its evolution. This paper uses Vivarium-an engine for composing heterogeneous computational biology models into integrated, multi-scale simulations. Vivarium's approach is demonstrated by combining several sub-models of biophysical processes into a model of chemotactic that exchange molecules with their environment, express the genes required for chemotaxis, swim, grow, and divide. This model is developed incrementally, highlighting cross-compartment mechanisms that link to its environment, with models for: (1) metabolism and transport, with transport moving nutrients across the membrane boundary and metabolism converting them to useful metabolites, (2) transcription, translation, complexation, and degradation, with stochastic mechanisms that read real gene sequence data and consume base pairs and ATP to make proteins and complexes, and (3) the activity of flagella and chemoreceptors, which together support navigation in the environment.
我们对细胞生命多尺度组织的理解程度,取决于我们的模型能够在多大程度上呈现这种组织以及驱动其进化的过程。本文使用Vivarium——一种将异构计算生物学模型组合成集成多尺度模拟的引擎。通过将生物物理过程的几个子模型组合成一个趋化模型,展示了Vivarium的方法,该趋化模型与环境交换分子、表达趋化所需的基因、游动、生长和分裂。这个模型是逐步开发的,突出了将其与环境联系起来的跨隔室机制,包括以下模型:(1)代谢和运输,运输将营养物质跨膜边界转运,代谢将它们转化为有用的代谢产物;(2)转录、翻译、复合和降解,具有读取真实基因序列数据并消耗碱基对和ATP来制造蛋白质和复合物的随机机制;(3)鞭毛和化学感受器的活动,它们共同支持在环境中的导航。