TY - JOUR
T1 - Prediction of solubility of lysozyme in lysozyme-NaCl-H2O system with artificial neural network
AU - Zhang, Xiangping
AU - Zhang, Suojiang
AU - He, Xuezhong
N1 - Funding Information:
This work was supported by National Scientific Funding of China (NSFC) (No. 20276073), and Postdoctoral Funding of Wangkuancheng, Chinese Academy of Sciences.
PY - 2004/3/15
Y1 - 2004/3/15
N2 - Modeling and prediction of protein solubility is a key to developing the protein crystal growth and crystallization process. In this paper a back propagation network was used for predicting the solubility of protein in lysozyme-NaCl-H2O system. It was found that properly selected and trained neural network could fairly represent the dependence of protein solubility on the pH, salt concentration, and temperature. The RMSD (root mean square deviation) for prediction of the solubility of lysozyme in lysozyme-NaCl-H2O system was 0.07% by the artificial neural network (ANN) method, which is better than that of with thermodynamic models. The ANNs have been proven to be an effective tool for correlation and prediction of protein solubility in protein-salt-water system.
AB - Modeling and prediction of protein solubility is a key to developing the protein crystal growth and crystallization process. In this paper a back propagation network was used for predicting the solubility of protein in lysozyme-NaCl-H2O system. It was found that properly selected and trained neural network could fairly represent the dependence of protein solubility on the pH, salt concentration, and temperature. The RMSD (root mean square deviation) for prediction of the solubility of lysozyme in lysozyme-NaCl-H2O system was 0.07% by the artificial neural network (ANN) method, which is better than that of with thermodynamic models. The ANNs have been proven to be an effective tool for correlation and prediction of protein solubility in protein-salt-water system.
KW - A1. Prediction
KW - A1. Solubility
KW - B1. Artificial neural network
KW - B1. Lysozyme B1. Protein
UR - http://www.scopus.com/inward/record.url?scp=1342306639&partnerID=8YFLogxK
U2 - 10.1016/j.jcrysgro.2003.12.038
DO - 10.1016/j.jcrysgro.2003.12.038
M3 - 文章
AN - SCOPUS:1342306639
SN - 0022-0248
VL - 264
SP - 409
EP - 416
JO - Journal of Crystal Growth
JF - Journal of Crystal Growth
IS - 1-3
ER -