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Rational methods for predicting human monoclonal antibodies retention in protein A affinity chromatography and cation exchange chromatography - Structure-based chromatography design for monoclonal antibodies

机译:预测人单克隆抗体在蛋白A亲和色谱和阳离子交换色谱中保留的合理方法-基于结构的单克隆抗体色谱设计

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Rational methods for predicting the chromatographic behavior of human monoclonal antibodies (hMabs) in protein A affinity chromatography and cation exchange chromatography from the amino acid sequences information were proposed. We investigated the relation between the structures of 28 hMabs and their chromatographic behavior in protein A affinity chromatography and cation exchange chromatography using linear gradient elution experiments. In protein A affinity chromatography, the elution pH of the hMabs was correlated with not only the structure of the Fc region (subclass), but also that of the variable region. The elution pH of hMabs that have LYLQMNSL sequences in between the CDR2 and CDR3 regions of the heavy chain became lower among the same subclass of hMabs. In cation exchange chromatography, the peak salt concentrations I-R of hMabs that have the same sequences of variable regions (or that have a structural difference in their Fc region, which puts them into a subclass) were similar. The IR values of hMabs were well correlated with the equilibrium association constant K, and also with the surface positive charge distribution of the variable region of the heavy chain (corrected surface net positive charge (cN) of the VH region). Based on these findings, we developed rational methods for predicting the retention behavior, which were also tested with eight additional hMabs. By considering the information on the number of binding sites associated with protein adsorption as determined experimentally, and the surface positive charge distribution from the three-dimensional structure of Mab A, we hypothesized that hMabs is separated by cation exchange chromatography as the surface positive charge distribution of the VH region is recognized. (c) 2005 Elsevier B.V. All rights reserved.
机译:提出了从氨基酸序列信息中预测蛋白A亲和色谱和阳离子交换色谱中人单克隆抗体(hMabs)色谱行为的合理方法。我们使用线性梯度洗脱实验研究了28 hMabs的结构与其在蛋白A亲和色谱和阳离子交换色谱中色谱行为之间的关系。在蛋白A亲和色谱中,hMab的洗脱pH不仅与Fc区(亚类)的结构相关,而且与可变区的结构相关。在相同的hMabs亚类中,在重链的CDR2和CDR3区之间具有LYLQMNSL序列的hMabs的洗脱pH降低。在阳离子交换色谱中,具有相同可变区序列(或在其Fc区具有结构差异,从而将其归为一类)的hMab的盐峰值浓度I-R相似。 hMabs的IR值与平衡缔合常数K以及重链可变区的表面正电荷分布(校正后的VH区表面净正电荷(cN))高度相关。基于这些发现,我们开发了预测保留行为的合理方法,还对另外八种hMab进行了测试。通过考虑实验确定的与蛋白质吸附相关的结合位点数的信息以及Mab A三维结构的表面正电荷分布,我们假设hMabs被阳离子交换色谱法分离为表面正电荷分布识别出VH区域的。 (c)2005 Elsevier B.V.保留所有权利。

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