预测机制模型用于分离单克隆抗体,fab片段和聚合物种在多式染色学上的多式染色学
Lalita Kanwar Shekhawat1,2, Todd Markle1, Jean-Luc Maloisel1
1Cytiva Sweden AB, Research and Development Division, Resins and Technologies Science, Uppsala, Sweden.
一个新的机械模型准确地预测了使用多式染色学分离单克隆抗体 (mAbs),Fab片段和聚合物的分离. 这一进步有助于理解复杂的抗体净化中的蛋白质-连接体相互作用.
科学领域:
- 生物化学 生物化学
- 化学工程是化学工程的重要组成部分.
- 染色体学 染色体学 是一种染色学.
背景情况:
- 多模式色谱越来越多地用于净化复杂的多特异性抗体.
- 了解蛋白质-多式联结体相互作用对于优化净化过程至关重要.
研究的目的:
- 开发一种机械模型来预测CapttoTM MMC ImpRes树脂上单克隆抗体 (mAb1),Fab片段 (Fab) 和异质聚合物的分离.
- 研究这些物种的结合机制和化行为.
主要方法:
- 将一般利率模型与基于偏好互动 (PI) 分析的朗迈尔绑定模型相结合.
- 从PI模型中获得具有约束力的参数,并将其与异位方位保留数据相匹配.
- 模拟mAb1,Fab和聚合物的化峰值.
主要成果:
- 该模型成功模拟了mAb1和Fab化峰值.
- 聚合物被建模为单一物种,准确预测平均化峰值位置,包括双峰.
- 对约束参数的分析提供了与保留数据一致的物理意义.
- 通过使用平衡常数,研究了聚合物双峰化机制.
结论:
- 开发的预测力学模型准确地模拟和预测了mAbs,Fab片段和聚合物的化.
- 该模型在疏水相互作用模式中的验证证明了其在多式染色学过程开发中的潜力.
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