论复杂生物供应链分析：从过程系统工程到定量系统药理学
On the analysis of complex biological supply chains: From Process Systems Engineering to Quantitative Systems Pharmacology.
作者信息
Rao Rohit T, Scherholz Megerle L, Hartmanshenn Clara, Bae Seul-A, Androulakis Ioannis P
机构信息
Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, 98 Brett Road, Piscataway, NJ 08854.
Department of Biomedical Engineering, Rutgers The State University of New Jersey, 599 Taylor Road, Piscataway, NJ 08854.
出版信息
Comput Chem Eng. 2017 Dec 5;107:100-110. doi: 10.1016/j.compchemeng.2017.06.003. Epub 2017 Jun 3.
Abstract
The use of models in biology has become particularly relevant as it enables investigators to develop a mechanistic framework for understanding the operating principles of living systems as well as in quantitatively predicting their response to both pathological perturbations and pharmacological interventions. This application has resulted in a synergistic convergence of systems biology and pharmacokinetic-pharmacodynamic modeling techniques that has led to the emergence of quantitative systems pharmacology (QSP). In this review, we discuss how the foundational principles of chemical process systems engineering inform the progressive development of more physiologically-based systems biology models.
摘要
模型在生物学中的应用变得尤为重要，因为它使研究人员能够建立一个机制框架，以理解生命系统的运作原理，并定量预测它们对病理扰动和药物干预的反应。这种应用导致了系统生物学与药代动力学-药效学建模技术的协同融合，进而催生了定量系统药理学（QSP）。在这篇综述中，我们讨论化学过程系统工程的基本原理如何为更基于生理学的系统生物学模型的逐步发展提供信息。
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