中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Prediction of phase equilibrium of protein aqueous system

文献类型:会议论文

作者Zhang, X. P. ; He, X. Z. ; Li, C. S. ; Zhang, S. J. ; Dai, W. B.
出版日期2004
会议名称4th International Conference on Separation Science and Technology (ICSST-04)
会议日期FEB 18-21, 2004
会议地点Nanning, PEOPLES R CHINA
关键词artificial neural-networks molecular thermodynamics solubility lysozyme crystals diagram growth
页码95-100
中文摘要Phase equilibrium calculation of thermodynamic system plays an important role in the separation and purification of many organic and inorganic materials. The phase diagram of protein aqueous system is predicted by the lattice thermodynamic model with parameters for the interaction between protein molecules in the liquid and in the solid phase. The essential features, such as liquid-liquid coexisting curve, spinodal curve and solubility curve were described based on the model reasonably. Also, the stable, unstable and metastable regions were shown clearly in the phase diagram. In the other hand, BP algorithm is proposed to simulate the solubility of protein in the salt aqueous and it would avoid the complexity of rigorous thermodynamic model and inaccuracy of estimation of interaction parameters. The results obtained with both of the approaches were compared with the experimental data. With predicted digital phase diagram, the protein crystallization process could be understood much intuitively and much flexibly. It offers a theoretical base for simulation and optimization of the crystallization process of proteins.
收录类别CPCI
会议网址://WOS:000223419800020
会议录FRONTIERS ON SEPARATION SCIENCE AND TECHNOLOGY
会议录出版者World Scientific Publ Co Pte Ltd
语种英语
源URL[http://ir.ipe.ac.cn/handle/122111/4987]  
专题过程工程研究所_多相复杂系统国家重点实验室
推荐引用方式
GB/T 7714
Zhang, X. P.,He, X. Z.,Li, C. S.,et al. Prediction of phase equilibrium of protein aqueous system[C]. 见:4th International Conference on Separation Science and Technology (ICSST-04). Nanning, PEOPLES R CHINA. FEB 18-21, 2004.://WOS:000223419800020.

入库方式: OAI收割

来源:过程工程研究所

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