Nanomath LLC, Spokane, Washington, USA.
University of Washington, Seattle, Washington, USA.
CPT Pharmacometrics Syst Pharmacol. 2024 Jul;13(7):1088-1102. doi: 10.1002/psp4.13181. Epub 2024 Jun 11.
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.
仿真分析与建模 II(SAAM II)是一款用于生命科学领域房室模型分析的图形建模软件,特别适用于但不仅限于药代动力学(PK)和药效动力学(PD)、代谢和示踪剂建模。其直观的“圆形和箭头”可视化界面使用户无需编码即可轻松构建、求解和拟合房室模型。它适合于对复杂动力学分析或 PK/PD 问题进行快速原型建模,并可用于教育学生和非建模人员。尽管设计简单,但 SAAM II 结合了 C 语言编写的复杂算法,用于求解常微分方程、通过强制函数处理复杂系统、进行多变量回归,其中包括贝叶斯最大后验概率、进行可识别性和敏感性分析,并提供报告功能,所有这些都在一个单一的软件包中。自上一篇 SAAM II 教程论文发表 26 年以来,我们在此展示了它在当前生命科学挑战中的更新适用性。我们回顾了它的特点,并提出了四个当代案例研究,包括靶介导 PK/PD、CAR-T 细胞治疗、病毒动力学和流行病学传播模型的示例。通过这些示例,我们证明了 SAAM II 为快速模型选择和原型设计提供了合适的接口。通过快速创建详细的数学模型,SAAM II 满足了数学建模界的独特需求。