| 运用小波分析对蛋白质进行亚细胞定位预测 |
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| 引用本文： | 潘宇曦,喇玉娟,冯国鄞,贺林.运用小波分析对蛋白质进行亚细胞定位预测[J].宁夏大学学报(自然科学版),2008,29(3). |
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| 作者姓名： | 潘宇曦 喇玉娟 冯国鄞 贺林 |
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| 作者单位： | 1. 上海交通大学Bio-X中心,上海,200030;中国科学院,上海生命科学研究院,上海,200031
2. 中国科学院,上海生命科学研究院,上海,200031;上海交通大学Bio-X中心,上海,200030 |
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| 摘 要： | 基于传统的以20种氨基酸在蛋白质序列中的组分来预测蛋白质亚细胞定位的方法,运用了"离散小波变换"(Discrete Wavelet Transform,DWT)的数字信号处理技术,对蛋白质序列中氨基酸排序的特征进行提取,并与氨基酸百分组成相结合,对蛋白质亚细胞定位进行了预测.通过观察预测结果发现,引入氨基酸的排列顺序特征后,蛋白质亚细胞定位的预测正确率有了显著的提高.
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| 关 键 词： | 数字信号处理 离散小波变换 生物信息学 蛋白质组学 |
Predicting Protein Subcellular Location Using Wavelet Analysis |
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| Pan Yuxi,La Yujuan,Feng Guoyin,He Lin.Predicting Protein Subcellular Location Using Wavelet Analysis[J].Journal of Ningxia University(Natural Science Edition),2008,29(3). |
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| Authors: | Pan Yuxi La Yujuan Feng Guoyin He Lin |
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| Abstract: | The traditional algorithms for predicting these attributes were solely based on 20 amino acid composition in which no sequence order effect was taken into account. To improve the prediction quality, a well-developed tool in digital signal processing (DSP) named discrete wavelet transform (DWT) was introduced in this study for the purpose of extracting arranging order features from protein sequences. And a remarkable improvement in prediction quality was observed by incorporating the arranging order features with the conventional amino acid composition. |
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| Keywords: | digital signal processing discrete wavelet transform bioinformaties proteomics |
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