Li Xiangfang, Qian Lijun, Dougherty Edward R
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
EURASIP J Bioinform Syst Biol. 2012 Dec 26;2012(1):19. doi: 10.1186/1687-4153-2012-19.
: Drug discovery today is a complex, expensive, and time-consuming process with high attrition rate. A more systematic approach is needed to combine innovative approaches in order to lead to more effective and efficient drug development. This article provides systematic mathematical analysis and dynamical modeling of drug effect under gene regulatory network contexts. A hybrid systems model, which merges together discrete and continuous dynamics into a single dynamical model, is proposed to study dynamics of the underlying regulatory network under drug perturbations. The major goal is to understand how the system changes when perturbed by drugs and give suggestions for better therapeutic interventions. A realistic periodic drug intake scenario is considered, drug pharmacokinetics and pharmacodynamics information being taken into account in the proposed hybrid systems model. Simulations are performed using MATLAB/SIMULINK to corroborate the analytical results.
当今的药物发现是一个复杂、昂贵且耗时的过程，淘汰率很高。需要一种更系统的方法来结合创新方法，以实现更有效和高效的药物开发。本文提供了在基因调控网络背景下药物效应的系统数学分析和动态建模。提出了一种混合系统模型，该模型将离散和连续动力学合并到一个单一的动力学模型中，以研究药物扰动下潜在调控网络的动力学。主要目标是了解系统在受到药物扰动时如何变化，并为更好的治疗干预提供建议。考虑了一种现实的周期性药物摄入情况，在所提出的混合系统模型中纳入了药物的药代动力学和药效学信息。使用MATLAB/SIMULINK进行仿真以证实分析结果。
