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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8027332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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