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History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications

Mathematical biology and pharmacology models have a long and rich history in the fields of medicine and physiology, impacting our understanding of disease mechanisms and the development of novel therapeutics. With an increased focus on the pharmacology application of system models and the advances i...

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Autores principales: Azer, Karim, Kaddi, Chanchala D., Barrett, Jeffrey S., Bai, Jane P. F., McQuade, Sean T., Merrill, Nathaniel J., Piccoli, Benedetto, Neves-Zaph, Susana, Marchetti, Luca, Lombardo, Rosario, Parolo, Silvia, Immanuel, Selva Rupa Christinal, Baliga, Nitin S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027332/
https://www.ncbi.nlm.nih.gov/pubmed/33841175
http://dx.doi.org/10.3389/fphys.2021.637999
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author Azer, Karim
Kaddi, Chanchala D.
Barrett, Jeffrey S.
Bai, Jane P. F.
McQuade, Sean T.
Merrill, Nathaniel J.
Piccoli, Benedetto
Neves-Zaph, Susana
Marchetti, Luca
Lombardo, Rosario
Parolo, Silvia
Immanuel, Selva Rupa Christinal
Baliga, Nitin S.
author_facet Azer, Karim
Kaddi, Chanchala D.
Barrett, Jeffrey S.
Bai, Jane P. F.
McQuade, Sean T.
Merrill, Nathaniel J.
Piccoli, Benedetto
Neves-Zaph, Susana
Marchetti, Luca
Lombardo, Rosario
Parolo, Silvia
Immanuel, Selva Rupa Christinal
Baliga, Nitin S.
author_sort Azer, Karim
collection PubMed
description Mathematical biology and pharmacology models have a long and rich history in the fields of medicine and physiology, impacting our understanding of disease mechanisms and the development of novel therapeutics. With an increased focus on the pharmacology application of system models and the advances in data science spanning mechanistic and empirical approaches, there is a significant opportunity and promise to leverage these advancements to enhance the development and application of the systems pharmacology field. In this paper, we will review milestones in the evolution of mathematical biology and pharmacology models, highlight some of the gaps and challenges in developing and applying systems pharmacology models, and provide a vision for an integrated strategy that leverages advances in adjacent fields to overcome these challenges.
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spelling pubmed-80273322021-04-09 History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications Azer, Karim Kaddi, Chanchala D. Barrett, Jeffrey S. Bai, Jane P. F. McQuade, Sean T. Merrill, Nathaniel J. Piccoli, Benedetto Neves-Zaph, Susana Marchetti, Luca Lombardo, Rosario Parolo, Silvia Immanuel, Selva Rupa Christinal Baliga, Nitin S. Front Physiol Physiology Mathematical biology and pharmacology models have a long and rich history in the fields of medicine and physiology, impacting our understanding of disease mechanisms and the development of novel therapeutics. With an increased focus on the pharmacology application of system models and the advances in data science spanning mechanistic and empirical approaches, there is a significant opportunity and promise to leverage these advancements to enhance the development and application of the systems pharmacology field. In this paper, we will review milestones in the evolution of mathematical biology and pharmacology models, highlight some of the gaps and challenges in developing and applying systems pharmacology models, and provide a vision for an integrated strategy that leverages advances in adjacent fields to overcome these challenges. Frontiers Media S.A. 2021-03-25 /pmc/articles/PMC8027332/ /pubmed/33841175 http://dx.doi.org/10.3389/fphys.2021.637999 Text en Copyright © 2021 Azer, Kaddi, Barrett, Bai, McQuade, Merrill, Piccoli, Neves-Zaph, Marchetti, Lombardo, Parolo, Immanuel and Baliga. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Azer, Karim
Kaddi, Chanchala D.
Barrett, Jeffrey S.
Bai, Jane P. F.
McQuade, Sean T.
Merrill, Nathaniel J.
Piccoli, Benedetto
Neves-Zaph, Susana
Marchetti, Luca
Lombardo, Rosario
Parolo, Silvia
Immanuel, Selva Rupa Christinal
Baliga, Nitin S.
History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications
title History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications
title_full History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications
title_fullStr History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications
title_full_unstemmed History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications
title_short History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications
title_sort history and future perspectives on the discipline of quantitative systems pharmacology modeling and its applications
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027332/
https://www.ncbi.nlm.nih.gov/pubmed/33841175
http://dx.doi.org/10.3389/fphys.2021.637999
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