Measuring and modeling the integrated behavior of biomolecular–cellular networks is central to systems biology. Over several decades, systems biology has been shaped by quantitative biologists, physicists, mathematicians, and engineers in different ways. However, the basic and applied versions of systems biology are not typically distinguished, which blurs the separate aspirations of the field and its potential for real-world impact. Here, we articulate an engineering approach to systems biology, which applies educational philosophy, engineering design, and predictive models to solve contemporary problems in an age of biomedical Big Data. A concerted effort to train systems bioengineers will provide a versatile workforce capable of tackling the diverse challenges faced by the biotechnological and pharmaceutical sectors in a modern, information-dense economy.

中文翻译：

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系统生物学的工程设计方法

测量和建模生物分子-细胞网络的集成行为是系统生物学的核心。几十年来，系统生物学已经由定量生物学家，物理学家，数学家和工程师以不同的方式塑造。但是，通常不会区分系统生物学的基本版本和应用版本，这模糊了该领域的独立愿望及其在现实世界中的影响潜力。在这里，我们阐述了一种系统生物学的工程方法，该方法运用教育理念，工程设计和预测模型来解决生物医学大数据时代的当代问题。训练系统生物工程师的共同努力将提供一支多才多艺的劳动力队伍，能够应对现代，