SAAM II: A general mathematical modeling rapid prototyping environment

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Simone Perazzolo
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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 Image

SAAM II:通用数学建模快速原型环境。
仿真分析与建模 II(SAAM II)是一款图形建模软件,用于生命科学领域的分室模型分析,尤其是药物动力学(PK)和药效学(PD)、新陈代谢和示踪剂建模。它具有直观的 "圆圈和箭头 "视觉效果,用户无需编码即可轻松建立、求解和拟合分室模型。它适用于为复杂的动力学分析或 PK/PD 问题快速建立模型原型,以及为学生和非建模人员提供教育。SAAM II 虽然设计简单,但它采用了用 C 语言编程的复杂算法,可处理常微分方程,通过强制函数处理复杂系统,以贝叶斯最大后验法为特色进行多变量回归,执行可识别性和敏感性分析,并提供报告功能,所有这些都在一个软件包中完成。在上一篇 SAAM II 教程论文发表 26 年后,我们在此展示 SAAM II 在应对当前生命科学挑战方面的最新适用性。我们回顾了 SAAM II 的特点,并介绍了四个当代案例研究,包括目标介导的 PK/PD、CAR-T 细胞疗法、病毒动力学和流行病学中的传播模型。通过这些实例,我们证明 SAAM II 为快速选择模型和原型提供了合适的界面。通过快速创建详细的数学模型,SAAM II 解决了数学建模界的一个独特需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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