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Agent-Based Modeling in Systems Pharmacology

2015/08/12 by Jason Cosgrove, J. Butler, Kieran Alden +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Gene Regulatory Network Analysis #Microbial Metabolic Engineering and Bioproduction #Computational Drug Discovery Methods #Computer science #A priori and a posteriori #Data science #Management science #Engineering

paper · pdf · doi:10.1002/psp4.12018

openalex publication_date 2015/08/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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