[1]林源清,张光亚.G/11木聚糖酶最适pH值的预测及其与氨基酸位置的关系[J].华侨大学学报(自然科学版),2014,35(3):316-320.[doi:10.11830/ISSN.1000-5013.2014.03.0316]
　LIN Yuan-qing,ZHANG Guang-ya.Prediction of Optimum pH of G/11 Xylanases and the Relationship between the Location of Amino Acid and Optimum pH Value[J].Journal of Huaqiao University(Natural Science),2014,35(3):316-320.[doi:10.11830/ISSN.1000-5013.2014.03.0316]
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G/11木聚糖酶最适pH值的预测及其与氨基酸位置的关系()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第35卷
期数:
2014年第3期
页码:
316-320
栏目:
出版日期:
2014-05-16

文章信息/Info

Title:
Prediction of Optimum pH of G/11 Xylanases and the Relationship between the Location of Amino Acid and Optimum pH Value
文章编号:
1000-5013(2014)03-0316-05
作者:
林源清;  张光亚
华侨大学 化工学院, 福建 厦门 361021
Author(s):
LIN Yuan-qing;  ZHANG Guang-ya
College of Chemical Engineering, Huaqiao University, Xiamen 361021, China
关键词:
木聚糖酶;  氨基酸;  支持向量机;  BP神经网络;  均匀设计;  主成分分析
Keywords:
xylanase;  amino acid;  support vector machine;  BP neural network;  uniform design;  principle component analysis
分类号:
Q55
DOI:
10.11830/ISSN.1000-5013.2014.03.0316
文献标志码:
A
摘要:
把木聚糖酶全序列均分为N端,中间端(I端)及C端3个部分,并分别以全序列及分段氨基酸的组成作为模型输入值.通过主成分分析(PCA)方法探讨全序列及分段氨基酸组成和最适pH值的相关性,运用均匀设计法分别优化支持向量机和BP神经网络运行参数.研究结果表明:支持向量机获得的预测模型优于神经网络,其中RBF支持向量机是最佳的模型.主成分分析结果显示:I端主成分跟最适pH值相关性最高;相关系数R绝对值为0.68,得到的结果与支持向量机结果一致.
Abstract:
We divided the xylanase sequences into three equally segments named N-terminus, I-terminus and C-terminus. And then, we calculated the amino acid compositions of the whole sequences and the segmented sequences, respectively. The amino acid compositions were used as the input values of these models. The principal component analysis(PCA)method was utilized to analyze the relationship between the amino acid composition and the optimum pH. The uniform design was used to optimize the running parameters of support vector machines(SVM)and neural network(BPNN), respectively. Our results showed the predicted model obtained by SVM was better than that of BPNN, and the SVM model based on RBF kernel was best. The results of PCA showed the correlation between principle component and optimum pH was best in the I-terminus with the R=-0.68, which coincided with the result of the SVM.

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备注/Memo

备注/Memo:
收稿日期: 2013-09-18
通信作者: 张光亚(1975-),男,教授,主要从事生物信息与生物化工的研究.E-mail:zhgyghh@hqu.edu.cn.
基金项目: 国家自然科学基金资助项目(21376103); 福建省自然科学基金资助项目(2013J01048)
更新日期/Last Update: 2014-05-20