Cosgrove J, Butler J, Alden K, Read M, Kumar V, Cucurull-Sanchez L, Timmis J, Coles M
York Computational Immunology LabUniversity of YorkYorkUK; Centre for Immunology and InfectionUniversity of YorkYorkUK; Department of ElectronicsUniversity of YorkYorkUK.
York Computational Immunology LabUniversity of YorkYorkUK; Centre for Immunology and InfectionUniversity of YorkYorkUK.
CPT Pharmacometrics Syst Pharmacol. 2015 Nov;4(11):615-29. doi: 10.1002/psp4.12018. Epub 2015 Nov 13.
Modeling and simulation (M&S) techniques provide a platform for knowledge integration and hypothesis testing to gain insights into biological systems that would not be possible a priori. Agent-based modeling (ABM) is an M&S technique that focuses on describing individual components rather than homogenous populations. This tutorial introduces ABM to systems pharmacologists, using relevant case studies to highlight how ABM-specific strengths have yielded success in the area of preclinical mechanistic modeling.
建模与仿真(M&S)技术提供了一个知识整合和假设检验的平台,以便深入了解生物系统,而这在之前是无法实现的。基于主体的建模(ABM)是一种建模与仿真技术,专注于描述个体组件而非同质群体。本教程向系统药理学家介绍基于主体的建模,并通过相关案例研究来突出基于主体的建模的独特优势如何在临床前机制建模领域取得成功。