期刊
JOURNAL OF BIOTECHNOLOGY
卷 241, 期 -, 页码 87-97出版社
ELSEVIER
DOI: 10.1016/j.jbiotec.2016.11.014
关键词
Polyethylene glycol; Precipitation Quantitative structure activity relationship (QSAR); Semi-mechanistic modeling; Monoclonal antibody
资金
- German Federal Ministry of Education and Research (BMBF) [0315640B]
- Lonza Biologics PLC
Precipitation of proteins is considered to be an effective purification method for proteins and has proven its potential to replace costly chromatography processes. Besides salts and polyelectrolytes, polymers, such as polyethylene glycol (PEG), are commonly used for precipitation applications under mild conditions. Process development, however, for protein precipitation steps still is based mainly on heuristic approaches and high-throughput experimentation due to a lack of understanding of the underlying mechanisms. In this work we apply quantitative structure-activity relationships (QSARs) to model two parameters, the discontinuity point m* and the beta-Value, that describe the complete precipitation curve of a protein under defined conditions. The generated QSAR models are sensitive to the protein type, pH, and ionic strength. It was found that the discontinuity point m* is mainly dependent on protein molecular structure properties and electrostatic surface properties, whereas the beta-value is influenced by the variance in electrostatics and hydrophobicity on the protein surface. The models for m* and the beta-value exhibit a good correlation between observed and predicted data with a coefficient of determination of R-2 >= 0.90 and, hence, are able to accurately predict precipitation curves for proteins. The predictive capabilities were demonstrated for a set of combinations of protein type, pH, and ionic strength not included in the generation of the models and good agreement between predicted and experimental data was achieved. (C) 2016 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据