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将蛋白质色谱法的选择和速率模型扩展到亲和色谱法。

Extension of the selection of protein chromatography and the rate model to affinity chromatography.

机构信息

Centre for Biochemical Engineering and Biotechnology, Institute for Cell Dynamics and Biotechnology, University of Chile, Beauchef 850, Santiago, Chile.

出版信息

J Mol Recognit. 2010 Nov-Dec;23(6):609-17. doi: 10.1002/jmr.1088.

Abstract

The rational selection of optimal protein purification sequences, as well as mathematical models that simulate and allow optimization of chromatographic protein purification processes have been developed for purification procedures such as ion-exchange, hydrophobic interaction and gel filtration chromatography. This paper investigates the extension of such analysis to affinity chromatography both in the selection of chromatographic processes and in the use of the rate model for mathematical modelling and simulation. Two affinity systems were used: Blue Sepharose and Protein A. The extension of the theory developed previously for ion-exchange and HIC chromatography to affinity separations is analyzed in this paper. For the selection of operations two algorithms are used. In the first, the value of η, which corresponds to the efficiency (resolution) of the actual chromatography and, Σ, which determines the amount of a particular contaminant eliminated after each separation step, which determines the purity, have to be determined. It was found that the value of both these parameters is not generic for affinity separations but will depend on the type of affinity system used and will have to be determined on a case by case basis. With Blue Sepharose a salt gradient was used and with Protein A, a pH gradient. Parameters were determined with individual proteins and simulations of the protein mixtures were done. This approach allows investigation of chromatographic protein purification in a holistic manner that includes ion-exchange, HIC, gel filtration and affinity separations for the first time.

摘要

已开发出合理选择最佳蛋白质纯化序列的方法,以及模拟和优化离子交换、疏水相互作用和凝胶过滤色谱等蛋白质纯化过程的数学模型。本文研究了将这种分析扩展到亲和层析,包括在选择层析过程和使用速率模型进行数学建模和模拟时。使用了两种亲和系统:Blue Sepharose 和 Protein A。本文分析了将以前为离子交换和 HIC 层析开发的理论扩展到亲和分离。对于操作的选择,使用了两种算法。在第一种算法中,必须确定 η 值,它对应于实际层析的效率(分辨率),以及Σ值,它决定了每个分离步骤后去除的特定污染物的量,从而决定了纯度。结果发现,这两个参数的值不是通用的,而是取决于所使用的亲和系统的类型,并且必须逐个确定。使用 Blue Sepharose 时使用盐梯度,使用 Protein A 时使用 pH 梯度。使用个别蛋白质确定参数,并对蛋白质混合物进行模拟。这种方法允许首次以整体方式研究色谱蛋白质纯化,包括离子交换、HIC、凝胶过滤和亲和分离。

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