引用本文
  • 严少敏,王何健,吴光.氨基酸和蛋白质的组合特征与秀丽隐杆线虫蛋白质的结晶倾向的相关分析[J].广西科学,2013,20(3):234-238,243.    [点击复制]
  • YAN Shao-min,WANG He-jian,WU Guang.Correlation of Combined Features of Amino Acid and Protein with Crystallization Propensity of Proteins from Caenorhabditis elegans[J].Guangxi Sciences,2013,20(3):234-238,243.   [点击复制]
【打印本页】 【在线阅读全文】【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 292次   下载 428 本文二维码信息
码上扫一扫!
氨基酸和蛋白质的组合特征与秀丽隐杆线虫蛋白质的结晶倾向的相关分析
严少敏, 王何健, 吴光
0
(广西科学院非粮生物质酶解国家重点实验室, 国家非粮生物质能源工程技术研究中心, 广西生物炼制重点实验室, 广西南宁 530007)
摘要:
通过逻辑回归和神经网络模型,分别研究3种单个氨基酸和整个蛋白质的组合特征与秀丽隐杆线虫(Caenorhabditis elegans)蛋白质的结晶倾向的相关性,并以535种单个氨基酸特征为基准,进行蛋白质结晶倾向的相关比较。结果显示,组合特征与秀丽隐杆线虫蛋白质的结晶倾向具有相关性,可用于预测蛋白质的结晶倾向。
关键词:  秀丽隐杆线虫  逻辑回归  神经网络  预测  蛋白质结晶
DOI:
投稿时间:2013-05-23
基金项目:广西科学基金项目(11107021-5-2、12237022、13-051-08、13-051-50和2013GXNSFDA019007)和八桂学者建设工程专项经费资助。
Correlation of Combined Features of Amino Acid and Protein with Crystallization Propensity of Proteins from Caenorhabditis elegans
YAN Shao-min, WANG He-jian, WU Guang
(State Key Laboratory of Non-food Biomass and Enzyme Technology, National Engineering Research Center for Non-food Biorefinery, Guangxi Key Laboratory of Biorefinery, Guangxi Academy of Sciences, Nanning, Guangxi, 530007, China)
Abstract:
By means of logistic regression and neural network, each of three combined features of individual amino acids and a whole protein is correlated with crystallization propensity of proteins from Caenorhabditis elegans while each of 535 features of individual amino acids is also correlated with crystallization propensity of the proteins to serve as benchmark.The results show that the combined features have the relationship with crystallization propensity of proteins from Caenorhabditis elegans.This study provides the information that the combined features can be used for predicting crystallization propensity of protein.
Key words:  Caenorhabditis elegans  logistic regression  neural network  prediction  protein crystallization

用微信扫一扫

用微信扫一扫