Prediction of solubility of lysozyme in lysozyme-NaCl-H2O system with artificial neural network
文献类型：期刊论文
| 作者 | Zhang, XP; Zhang, SJ; He, XZ |
| 刊名 | JOURNAL OF CRYSTAL GROWTH
 |
| 出版日期 | 2004-03-15 |
| 卷号 | 264期号:1-3页码:409-416 |
| 关键词 | prediction solubility artificial neural network lysozyme protein |
| ISSN号 | 0022-0248 |
| 其他题名 | J. Cryst. Growth |
| 中文摘要 | 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. (C) 2003 Elsevier B.V. All rights reserved. |
| 英文摘要 | 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. (C) 2003 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Physical Sciences ; Technology |
| 类目[WOS] | Crystallography ; Materials Science, Multidisciplinary ; Physics, Applied |
| 研究领域[WOS] | Crystallography ; Materials Science ; Physics |
| 关键词[WOS] | EGG-WHITE LYSOZYME ; VAPOR-LIQUID-EQUILIBRIUM |
| 收录类别 | SCI |
| 原文出处 | |
| 语种 | 英语 |
| WOS记录号 | WOS:000220345400064 |
| 公开日期 | 2013-11-05 |
| 版本 | 出版稿 |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/4988]  |
| 专题 | 过程工程研究所_研究所（批量导入） |
| 作者单位 | Chinese Acad Sci, Inst Proc Engn, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, XP,Zhang, SJ,He, XZ. Prediction of solubility of lysozyme in lysozyme-NaCl-H2O system with artificial neural network[J]. JOURNAL OF CRYSTAL GROWTH,2004,264(1-3):409-416. |
| APA | Zhang, XP,Zhang, SJ,&He, XZ.(2004).Prediction of solubility of lysozyme in lysozyme-NaCl-H2O system with artificial neural network.JOURNAL OF CRYSTAL GROWTH,264(1-3),409-416. |
| MLA | Zhang, XP,et al."Prediction of solubility of lysozyme in lysozyme-NaCl-H2O system with artificial neural network".JOURNAL OF CRYSTAL GROWTH 264.1-3(2004):409-416. |
入库方式： OAI收割
来源：过程工程研究所
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