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SAAM II: A general mathematical modeling rapid prototyping environment.

Authors :
Perazzolo, Simone
Source :
CPT: Pharmacometrics & Systems Pharmacology; Jul2024, Vol. 13 Issue 7, p1088-1102, 15p
Publication Year :
2024

Abstract

Simulation Analysis and Modeling II (SAAM II) is a graphical modeling software used in life sciences for compartmental model analysis, particularly, but not exclusively, appreciated in pharmacokinetics (PK) and pharmacodynamics (PD), metabolism, and tracer modeling. Its intuitive "circles and arrows" visuals allow users to easily build, solve, and fit compartmental models without the need for coding. It is suitable for rapid prototyping of models for complex kinetic analysis or PK/PD problems, and in educating students and non‐modelers. Although it is straightforward in design, SAAM II incorporates sophisticated algorithms programmed in C to address ordinary differential equations, deal with complex systems via forcing functions, conduct multivariable regression featuring the Bayesian maximum a posteriori, perform identifiability and sensitivity analyses, and offer reporting functionalities, all within a single package. After 26 years from the last SAAM II tutorial paper, we demonstrate here SAAM II's updated applicability to current life sciences challenges. We review its features and present four contemporary case studies, including examples in target‐mediated PK/PD, CAR‐T‐cell therapy, viral dynamics, and transmission models in epidemiology. Through such examples, we demonstrate that SAAM II provides a suitable interface for rapid model selection and prototyping. By enabling the fast creation of detailed mathematical models, SAAM II addresses a unique requirement within the mathematical modeling community. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21638306
Volume :
13
Issue :
7
Database :
Complementary Index
Journal :
CPT: Pharmacometrics & Systems Pharmacology
Publication Type :
Academic Journal
Accession number :
178442103
Full Text :
https://doi.org/10.1002/psp4.13181