Agent‐Based Modeling in Systems Pharmacology
作者： J Cosgrove , J Butler , K Alden , M Read , V Kumar
DOI: 10.1002/PSP4.12018
关键词: Statistical hypothesis testing 、 A priori and a posteriori 、 Modeling and simulation 、 Simulation 、 Systems biology 、 Knowledge integration 、 Computer science 、 Systems pharmacology 、 Data science
摘要: Modeling and simulation (M&S) techniques provide a platform for knowledge integration hypothesis testing to gain insights into biological systems that would not be possible priori. Agent-based modeling (ABM) is an M&S technique focuses on describing individual components rather than homogenous populations. This tutorial introduces ABM pharmacologists, using relevant case studies highlight how ABM-specific strengths have yielded success in the area of preclinical mechanistic modeling.
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