首页> 美国卫生研究院文献>Metabolites >Quasi-Steady-State Analysis based on Structural Modules and Timed Petri Net Predict System’s Dynamics: The Life Cycle of the Insulin Receptor
【2h】

Quasi-Steady-State Analysis based on Structural Modules and Timed Petri Net Predict System’s Dynamics: The Life Cycle of the Insulin Receptor

机译:基于结构模块和定时Petri网预测系统动力学的准稳态分析:胰岛素受体的生命周期

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The insulin-dependent activation and recycling of the insulin receptor play an essential role in the regulation of the energy metabolism, leading to a special interest for pharmaceutical applications. Thus, the recycling of the insulin receptor has been intensively investigated, experimentally as well as theoretically. We developed a time-resolved, discrete model to describe stochastic dynamics and study the approximation of non-linear dynamics in the context of timed Petri nets. Additionally, using a graph-theoretical approach, we analyzed the structure of the regulatory system and demonstrated the close interrelation of structural network properties with the kinetic behavior. The transition invariants decomposed the model into overlapping subnetworks of various sizes, which represent basic functional modules. Moreover, we computed the quasi-steady states of these subnetworks and demonstrated that they are fundamental to understand the dynamic behavior of the system. The Petri net approach confirms the experimental results of insulin-stimulated degradation of the insulin receptor, which represents a common feature of insulin-resistant, hyperinsulinaemic states.
机译:胰岛素受体的依赖胰岛素​​的活化和再循环在能量代谢的调节中起重要作用,从而引起了对药物应用的特别关注。因此,已经在实验上和理论上对胰岛素受体的再循环进行了深入研究。我们开发了一个时间分辨的离散模型来描述随机动力学,并研究了定时Petri网中非线性动力学的逼近。此外,使用图论方法,我们分析了调节系统的结构,并证明了结构网络特性与动力学行为之间的紧密联系。过渡不变式将模型分解为各种大小的重叠子网,这些子网代表基本功能模块。此外,我们计算了这些子网的准稳态,并证明了它们对于理解系统的动态行为至关重要。 Petri网方法证实了胰岛素刺激的胰岛素受体降解的实验结果,这代表了胰岛素抵抗,高胰岛素血症状态的共同特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号