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了解可逆代谢的药代动力学。

Understanding the pharmacokinetics of reversible metabolism.

作者信息

Cho Seungil, Yoon Young-Ran

机构信息

Molecular Diagnostics and Imaging Center, Kyungpook National University, Daegu 41944, Korea.

Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Korea.

出版信息

Transl Clin Pharmacol. 2019 Jun;27(2):52-58. doi: 10.12793/tcp.2019.27.2.52. Epub 2019 Jun 28.

Abstract

This tutorial introduces the mathematical skills required to obtain exact and approximate solutions for reversible reactions and provides graphical insights to help understand the pharmacokinetics of reversible metabolism. The matrix method provides an easy way to derive the exact solution for the amount of each species as a function of time. The plots of the exact solutions reveal some characteristic features of the pharmacokinetic profiles of the reversible metabolism. We also describe two approximation approaches, steady-state approximation, and equilibrium approximation, to simplify the solutions. The skills and knowledge acquired through this tutorial will provide a basis for understanding more complex reversible reaction systems.

摘要

本教程介绍了获得可逆反应精确解和近似解所需的数学技能,并提供图形化的见解以帮助理解可逆代谢的药代动力学。矩阵法提供了一种简便的方法来推导每种物质的量随时间变化的精确解。精确解的曲线图揭示了可逆代谢药代动力学特征的一些特点。我们还描述了两种近似方法,即稳态近似和平衡近似,以简化求解过程。通过本教程获得的技能和知识将为理解更复杂的可逆反应系统提供基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47fe/6989244/4c70c6621f62/tcp-27-52-g003.jpg

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