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Agent‐Based Modeling in Systems Pharmacology

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 th...

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Detalles Bibliográficos
Autores principales: Cosgrove, J, Butler, J, Alden, K, Read, M, Kumar, V, Cucurull‐Sanchez, L, Timmis, J, Coles, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716580/
https://www.ncbi.nlm.nih.gov/pubmed/26783498
http://dx.doi.org/10.1002/psp4.12018
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author Cosgrove, J
Butler, J
Alden, K
Read, M
Kumar, V
Cucurull‐Sanchez, L
Timmis, J
Coles, M
author_facet Cosgrove, J
Butler, J
Alden, K
Read, M
Kumar, V
Cucurull‐Sanchez, L
Timmis, J
Coles, M
author_sort Cosgrove, J
collection PubMed
description 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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spelling pubmed-47165802016-01-18 Agent‐Based Modeling in Systems Pharmacology Cosgrove, J Butler, J Alden, K Read, M Kumar, V Cucurull‐Sanchez, L Timmis, J Coles, M CPT Pharmacometrics Syst Pharmacol Tutorials 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. John Wiley and Sons Inc. 2015-11-13 2015-11 /pmc/articles/PMC4716580/ /pubmed/26783498 http://dx.doi.org/10.1002/psp4.12018 Text en © 2015 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Tutorials
Cosgrove, J
Butler, J
Alden, K
Read, M
Kumar, V
Cucurull‐Sanchez, L
Timmis, J
Coles, M
Agent‐Based Modeling in Systems Pharmacology
title Agent‐Based Modeling in Systems Pharmacology
title_full Agent‐Based Modeling in Systems Pharmacology
title_fullStr Agent‐Based Modeling in Systems Pharmacology
title_full_unstemmed Agent‐Based Modeling in Systems Pharmacology
title_short Agent‐Based Modeling in Systems Pharmacology
title_sort agent‐based modeling in systems pharmacology
topic Tutorials
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716580/
https://www.ncbi.nlm.nih.gov/pubmed/26783498
http://dx.doi.org/10.1002/psp4.12018
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