药物开发
药效学
结合
计算机科学
抗体-药物偶联物
计算生物学
药品
药理学
药代动力学
医学
抗体
单克隆抗体
生物
免疫学
数学
数学分析
作者
Shufang Liu,Dhaval K. Shah
出处
期刊:Methods in pharmacology and toxicology
日期:2021-01-01
卷期号:: 331-355
被引量:1
标识
DOI:10.1007/978-1-0716-1250-7_15
摘要
Development of antibody–drug conjugate (ADC) molecules is challenging, since it requires simultaneous optimization of three different ADC-related components (i.e., antibody, linker, and payload). Pharmacokinetic and pharmacodynamic (PK-PD) modeling and simulation is a powerful tool that can help with this process. It provides a rigorous understanding of how each ADC-related component impacts whole-body disposition and pharmacology of ADCs, and facilitates decision making in drug development. Among many PK-PD models of various anatomical levels available for ADCs, a cellular PK-PD model is the most mechanistic and conserved across different drug development stages. In this chapter, we present one such cell-level PK-PD model that integrates system-specific and ADC-specific parameters to describe intracellular processing of ADCs and their efficacy. We highlight how the model can be informed by cellular PK data, how it can be evolved to evaluate phenomena such as the bystander effect, and how it can be nested in a high-level systems PK-PD platform to achieve preclinical-to-clinical translation of ADCs. The cellular PK-PD model presented here provides a flexible quantitative framework, which can be used to triage ADC molecules at the development stage and evaluate different strategies to improve ADC therapy in the clinic.
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