首页> 外文期刊>Network Modeling Analysis in Health Informatics and Bioinformatics >Modeling and simulation analysis of propyl-thiouracil (PTU), an anti-thyroid drug on thyroid peroxidase (TPO), thyroid stimulating hormone receptor (TSHR), and sodium iodide (NIS) symporter based on systems biology approach
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Modeling and simulation analysis of propyl-thiouracil (PTU), an anti-thyroid drug on thyroid peroxidase (TPO), thyroid stimulating hormone receptor (TSHR), and sodium iodide (NIS) symporter based on systems biology approach

机译:基于系统生物学方法的甲状腺过氧化物酶(TPO),甲状腺刺激激素受体(TSHR)和碘化钠(NIS)转运蛋白抗甲状腺药物丙硫氧嘧啶(PTU)的建模和仿真分析

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The aim of metabolic modeling was to understand the cause effect interaction and reliance linked with the complex interactions of biological networks and molecular systems. Drugs that therapeutically modulate the biological processes of disease are often developed with limited knowledge of the underlying complexity of their specific targets. The robustness for systemic modulating behavior of thyroid hormone secretion during the course of different time unit simulation is explained in this study. In this work, a computational model has been developed which mimics the in vivo simulation. The model was constructed with the help of cell designer 4.1 used for analyzing the effect of perturbed amount of drugs at 0.1, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0 amounts as a unit, targeting Thyroid Peroxidase (TPO), Thyroid Stimulating Hormone Receptor (TSHR), and Sodium Iodide Symporter (NIS). The rate kinetic equations were defined with each reaction to simulate the molecular species dynamic behavior. The modulating behavior of thyroid hormone secretion was analyzed by the process of activation and inactivation states of TPO, TSHR, and NIS at various amounts of drugs. Obtained results explain suitably the entire observable fact of the drug effects and are capable to proceed in response to the perturbations of the natural cell. TSHR was found as the most potent molecular therapeutic target in this study.
机译:代谢建模的目的是了解与生物网络和分子系统的复杂相互作用相关的因果相互作用和依赖性。在治疗上调节疾病的生物学过程的药物通常是在对其特定靶标的潜在复杂性了解有限的情况下开发的。在这项研究中解释了在不同时间单位模拟过程中甲状腺激素分泌的系统调节行为的鲁棒性。在这项工作中,已经开发了一种模拟体内模拟的计算模型。该模型是在细胞设计器4.1的帮助下构建的,该模型用于分析以单位数量0.1、0.5、1.0、1.5、2.0、2.5、3.0为单位的药物扰动量,以甲状腺过氧化物酶(TPO),甲状腺刺激激素为目标受体(TSHR)和碘化钠同向转运蛋白(NIS)。定义每个反应的速率动力学方程,以模拟分子种类的动力学行为。通过TPO,TSHR和NIS在各种药物剂量下的激活和失活状态过程分析了甲状腺激素分泌的调节行为。获得的结果适当地解释了药物作用的整个可观察的事实,并且能够响应天然细胞的干扰而继续进行。 TSHR被认为是这项研究中最有效的分子治疗靶标。

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