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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Published inFrontiers in physiology Vol. 12; p. 637999
Main Authors 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
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 25.03.2021
Subjects
bioinformatics
computational biology
data science
Physiology
QSP modeling
systems biology
systems pharmacology
computational biology
systems biology
data science
bioinformatics
drug development
systems pharmacology
QSP modeling
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Summary: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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Edited by: Yoram Vodovotz, University of Pittsburgh, United States
This article was submitted to Systems Biology, a section of the journal Frontiers in Physiology
Reviewed by: Hugo Geerts, In Silico Biosciences, United States; Tarek A. Leil, Bristol Myers Squibb, United States; Ioannis P. Androulakis, Rutgers, The State University of New Jersey, United States
Nathaniel J. Merril, Pacific Northwest National Laboratory, Computational Biology Group, Richland, WA, United States
Present address: Chanchala D. Kaddi,Translational Disease Modeling, Data and Data Science, Sanofi, Cambridge, MA, United States
ISSN:1664-042X
1664-042X
DOI:10.3389/fphys.2021.637999