抗体-药物结合物的药理动力学和药理动力学建模
1Department of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia, PA 19140, USA.
抗体-药物联合体 (ADCs) 由于多种分子物种而存在复杂的药理动力学 (PK) 和药理动力学 (PD) 挑战. 本综述详细介绍了PK/PD机制,并评估了ADC开发的各种in silico模型.
科学领域:
- 药理学 药理学是指药理学的学科.
- 生物技术是生物技术.
- 计算生物学 计算生物学
背景情况:
- 抗体与药物联合体 (ADCs) 在瘤学中越来越多地获得批准.
- 由于多种循环分子物种 (完整的ADC,未结合的抗体,释放的有效载荷) 导致ADC的发展复杂化.
- 药物对抗体比率 (DAR) 是动态的,因为结合和解结合的异质性,影响药理动力学 (PK) 和药理动力学 (PD).
研究的目的:
- 审查管理ADC PK/PD的关键机制.
- 讨论适用于ADCs的in silico PK/PD模型的范围.
- 批判性地评估不同建模方法的优点,弱点和实用性.
主要方法:
- 对ADC PK/PD机制的文献综述.
- 对各种in silico建模策略的系统评估.
- 经验,PBPK和细胞水平PK/PD模型的比较分析.
主要成果:
- ADCs表现出复杂的PK/PD形状,受完整的结合体,抗体和有效载荷的影响.
- 一系列的in silico模型,从隔间到PBPK和细胞水平,用于描述ADC行为.
- 每种模型类型都为预测ADC的有效性和安全性提供了不同的优势和局限性.
结论:
- 了解ADC PK/PD复杂性对于成功开发药物至关重要.
- 在 silico 建模对于预测和优化 ADC 性能至关重要.
- 选择PK/PD模型应根据ADC系统的具体问题和复杂性进行调整.
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