针对具有N > 2个结合位点的药物,以目标为媒介的药物排放模型,该药物与一个结合位点的目标结合
Leonid Gibiansky1, Chee M Ng2, Ekaterina Gibiansky3
1QuantPharm LLC, North Potomac, MD, USA. lgibiansky@quantpharm.com.
扩展的目标介导药物排放 (TMDD) 模型现在包括具有多个结合位点 (N-to-one TMDD) 的药物. 像N-to-one QSS这样的近似方法可以准确预测药物行为,从而提供更快的趋同.
科学领域:
- 药理动力学和药理动力学
- 生物技术是生物技术.
- 计算生物学 计算生物学
背景情况:
- 标准的向中介药物排放 (TMDD) 模型描述了药物向相互作用.
- 这种模型对于单克隆抗体 (mAbs) 尤其重要.
- 将该模型扩展到具有多个相同结合位点的药物,对于更广泛的应用至关重要.
研究的目的:
- 将TMDD模型扩展到具有两个以上相同结合位点 (N-to-oneTMDD) 的药物.
- 导出和验证各种数学近似 (N-to-one QSS,QE,IB,MM) 的N-to-oneTMDD模型.
- 用数值模拟来评估这些近似的准确性和效率.
主要方法:
- 为N > 2个相同的结合位点开发N-to-oneTMDD模型.
- 准平稳状态 (QSS),准平衡 (QE),不可逆转的绑定 (IB) 和迈凯利斯-门 (MM) 近似的导出.
- 一个4比1的TMDD模型场景的数值模拟.
- 比较模拟结果从完整的模型及其近似.
主要成果:
- N-to-one QSS近似与完整的N-to-one TMDD模型预测密切匹配,类似于mAbs.的标准TMDD.
- 4比1的QSS近似准确地描述了可溶性标的总和未结合的药物/标度和药物标复合物.
- 4对1的MM近似有效地建模了mAbs与膜绑定目标的数据.
- 4对1的QSS近似表明,与完整的N对1TMDD模型相比,合速度快8倍.
结论:
- N-to-one TMDD模型及其近似为预测具有多个结合点的药物行为提供了强大的框架.
- N-to-one QSS近似是一种计算效率高,准确的工具,用于模拟具有可溶性目标的mAbs.
- N-to-one MM近似值适用于针对膜结合受体的mAbs.
- 这些进展增强了药物开发中的药理动力学模型的预测能力.
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