评估QSP模型的性能:生物学作为验证的驱动因素
Fulya Akpinar Singh1, Nasrin Afzal1, Shepard J Smithline1
1Genmab US, Inc., 777 Scudders Mill Rd Bldg 2 4th Floor, Plainsboro, NJ, 08536, USA.
量化系统药理 (QSP) 模型验证需要一种细微的方法,超越标准的统计方法. 本次审查澄清了QSP验证水平及其依赖于上下文的充分性,以建立对机械模型的信心.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
- 系统生物学 系统生物学
背景情况:
- 模型验证对于定量模型的信心至关重要.
- 量化系统药理学 (QSP) 缺乏标准化的验证过程.
- 经典的统计验证可能无法完全解决QSP机制模型.
研究的目的:
- 审查当前的QSP验证概念.
- 为了对比统计验证的目标与QSP的挑战.
- 定义QSP验证阶段,以适用于上下文应用.
主要方法:
- 关于QSP验证实践的文献综述.
- 统计验证 (推断,药量计,机器学习) 与 QSP 需求的比较.
- 分析已发布的QSP模型,以说明验证水平.
主要成果:
- 目前的QSP验证往往是零碎的.
- 机械模型验证需要一个定制的方法.
- 存在不同的验证级别,根据分析上下文适用.
结论:
- 需要对QSP模型验证采取细微的,特定于环境的方法.
- 了解验证阶段可以提高对QSP模型应用的信心.
- 对于QSP,需要标准化而又灵活的验证框架.
更多相关视频
00:05In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
08:47Experimental Quantification of Interactions Between Drug Delivery Systems and Cells In Vitro: A Guide for Preclinical Nanomedicine Evaluation
Published on: September 28, 2022
相关概念视频
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Model Approaches for Pharmacokinetic Data: Physiological Models
Mechanistic Models: Compartment Models in Individual and Population Analysis
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models
Cochran's Q Test
