[1]李红春,张光亚,方柏山.采用伪氨基酸组成预测水解酶亚家族[J].华侨大学学报(自然科学版),2010,31(3):317-321.[doi:10.11830/ISSN.1000-5013.2010.03.0317]
　LI Hong-chun,ZHANG Guang-ya,FANG Bai-shan.Using Pseudo Amino Acid Composition to Predict Hydrolase Subfamily[J].Journal of Huaqiao University(Natural Science),2010,31(3):317-321.[doi:10.11830/ISSN.1000-5013.2010.03.0317]
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采用伪氨基酸组成预测水解酶亚家族()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第31卷
期数:
2010年第3期
页码:
317-321
栏目:
出版日期:
2010-05-20

文章信息/Info

Title:
Using Pseudo Amino Acid Composition to Predict Hydrolase Subfamily
文章编号:
1000-5013(2010)03-0317-05
作者:
李红春; 张光亚; 方柏山
华侨大学工业生物技术研究所
Author(s):
LI Hong-chun;  ZHANG Guang-ya;  FANG Bai-shan
Institute of Industrial Biotechnology, Huaqiao University, Quanzhou 362021, China
关键词:
水解酶亚家族;  特征值;  伪氨基酸;  k-近邻
Keywords:
hydrolase subfamily;  feature extraction;  pseudo amino acid composition;  k-nearest neighbor
分类号:
Q811.4
DOI:
10.11830/ISSN.1000-5013.2010.03.0317
文献标志码:
A
摘要:
利用伪氨基酸组成提取蛋白序列特征值,考察参数λ和w对识别效果的影响,以k-近邻作为基础分类器,用于预测水解酶的亚家族类型.结果表明,伪氨基酸组成特征提取法与单纯的20个氨基酸组成特征方法相比,其识别精度有较大程度提高.20AA组成的平均预测精度为72.3%,而伪氨基酸组成特征提取的识别效果可达82.7%.在参数影响考察方面,自相关性函数个数的选取对识别效果影响较大,而权重因子w对识别效果影响则很小.
Abstract:
Predicting the hydrolase subfamily is of great importance for designing a fast and reliable classification system.In this paper,the pseudo amino acid composition method was used to extract the features from protein sequencec,and the k-nearest neighbor algorithm was used as the classifier to predict the hydrolase subfamily.The influences of λ and ω on prediction accuracy were also studied.The results showed that the prediction accuracy of pseudo amino acid composition were much higher(about 10.4%) than that of amino acid composition,the prediction accuracy of amino acid was 72.3%,while the pseudo amino acid was 87.2%.The running parameter of λ had more influence on prediction accuracy when compared with ω.

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备注/Memo

备注/Memo:
国家自然科学基金资助项目(30770059); 教育部博士点科研基金资助项目(20070685001)
更新日期/Last Update: 2014-03-23