Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029, U.S.A.
Essays Biochem. 2018 Oct 26;62(4):487-500. doi: 10.1042/EBC20180003.
Systems biology is an integrative discipline connecting the molecular components within a single biological scale and also among different scales (e.g. cells, tissues and organ systems) to physiological functions and organismal phenotypes through quantitative reasoning, computational models and high-throughput experimental technologies. Systems biology uses a wide range of quantitative experimental and computational methodologies to decode information flow from genes, proteins and other subcellular components of signaling, regulatory and functional pathways to control cell, tissue, organ and organismal level functions. The computational methods used in systems biology provide systems-level insights to understand interactions and dynamics at various scales, within cells, tissues, organs and organisms. In recent years, the systems biology framework has enabled research in quantitative and systems pharmacology and precision medicine for complex diseases. Here, we present a brief overview of current experimental and computational methods used in systems biology.
系统生物学是一门整合性学科,通过定量推理、计算模型和高通量实验技术,将单个生物学尺度内的分子成分以及不同尺度(如细胞、组织和器官系统)之间的分子成分联系起来,以了解生理功能和机体表型。系统生物学使用广泛的定量实验和计算方法学,从基因、蛋白质和其他信号转导、调控和功能途径的亚细胞成分解码信息流,以控制细胞、组织、器官和机体水平的功能。系统生物学中使用的计算方法提供了系统层面的见解,以了解细胞内、组织内、器官内和生物体各个尺度上的相互作用和动态。近年来,系统生物学框架使定量和系统药理学以及复杂疾病的精准医学研究成为可能。在这里,我们简要概述了系统生物学中当前使用的实验和计算方法。