Sensitivity analysis for drug effect study: An NF-κB pathway example

Xiangfang Li, Sunday Ogedengbe, Lijun Qian, E. Dougherty
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引用次数: 1

Abstract

The complexity of biological signaling networks, especially the uncertainties associated with the model parameters, present challenges for understanding the behavior of such networks and hence hamper the translation of the modeling study into drug development process. Sensitivity analysis can help to determine which parameters are the "key drivers" of the model's output. How to tailor the sensitivity study under drug perturbation based on the knowledge of available existing or potential drugs are considered in this paper. The goal is to evaluate the drug effect on the signaling pathway modeled by kinetic rate changes. Through an example simulation study of the response of NF-κB pathway to two drugs, it is observed that new or modified sensitivity analysis methods may be necessary for the purpose of drug effect study. In addition, the new method may also help us determine whether combination therapy can yield significant synergism when compared to their individual drug effect.
药物效应研究的敏感性分析:以NF-κB通路为例
生物信号网络的复杂性,特别是与模型参数相关的不确定性,对理解这些网络的行为提出了挑战,从而阻碍了将建模研究转化为药物开发过程。敏感性分析可以帮助确定哪些参数是模型输出的“关键驱动因素”。本文考虑了如何在现有或潜在药物的基础上进行药物扰动下的敏感性研究。目的是评估药物对由动力学速率变化模拟的信号通路的影响。通过对两种药物的NF-κB通路反应的实例模拟研究,观察到可能需要新的或改进的敏感性分析方法来进行药效研究。此外,新方法还可以帮助我们确定联合治疗是否可以产生显着的协同作用,与他们单独的药物效果相比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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