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MatVPC:一个基于MATLAB的用户友好型系统药理学模型仿真与评估工具。

MatVPC: A User-Friendly MATLAB-Based Tool for the Simulation and Evaluation of Systems Pharmacology Models.

作者信息

Biliouris K, Lavielle M, Trame M N

机构信息

Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida Orlando, Florida, USA.

Inria Saclay, POPIX Team Saclay, France.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2015 Sep;4(9):547-57. doi: 10.1002/psp4.12011. Epub 2015 Aug 22.

Abstract

Quantitative systems pharmacology (QSP) models are progressively entering the arena of contemporary pharmacology. The efficient implementation and evaluation of complex QSP models necessitates the development of flexible computational tools that are built into QSP mainstream software. To this end, we present MatVPC, a versatile MATLAB-based tool that accommodates QSP models of any complexity level. MatVPC executes Monte Carlo simulations as well as automatic construction of visual predictive checks (VPCs) and quantified VPCs (QVPCs).

摘要

定量系统药理学(QSP)模型正逐渐进入当代药理学领域。复杂QSP模型的有效实施和评估需要开发灵活的计算工具,并将其集成到QSP主流软件中。为此,我们推出了MatVPC,这是一个基于MATLAB的通用工具,可容纳任何复杂程度的QSP模型。MatVPC可执行蒙特卡罗模拟以及自动构建视觉预测检查(VPC)和量化视觉预测检查(QVPC)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ba/4592534/84013f6bc20c/psp40004-0547-f1.jpg

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