| 利用伪氨基酸组分预测分枝杆菌膜蛋白类型 |
| |
| 引用本文： | 丁辰,邓科君,袁鲁峰,林昊.利用伪氨基酸组分预测分枝杆菌膜蛋白类型[J].生物信息学,2011,9(3):238-241. |
| |
| 作者姓名： | 丁辰 邓科君 袁鲁峰 林昊 |
| |
| 作者单位： | 电子科技大学生命科学与技术学院,成都,610054 |
| |
| 摘 要： | 膜蛋白是重要的药物靶位点,对膜蛋白类型的研究有助于药物的成功设计,因此正确预测膜蛋白类型对于药物研发是十分必要的。本文采用由274条分枝杆菌膜蛋白序列组成的一致性小于40%的数据集,以经过优化的伪氨基酸组分为特征,利用支持向量机分类算法预测分枝杆菌膜蛋白类型,在Jackknife检验下,得到85.4%的总体准确率和72.2%的平均准确率。结果说明,该方法可用于分枝杆菌膜蛋白类型的识别,将有助于抗分枝杆菌药物的开发。
|
| 关 键 词： | 分枝杆菌 膜蛋白 伪氨基酸组分 支持向量机 方差分析 |
The prediction of types of mycobacterial membrane proteins using pseudo amino acid composition |
| |
| DING Chen,DENG Ke-Jun,YUAN Lu-Feng,LIN Hao.The prediction of types of mycobacterial membrane proteins using pseudo amino acid composition[J].China Journal of Bioinformation,2011,9(3):238-241. |
| |
| Authors: | DING Chen DENG Ke-Jun YUAN Lu-Feng LIN Hao |
| |
| Institution: | DING Chen,DENG Ke-Jun,YUAN Lu-Feng,LIN Hao*(School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu 610054,China) |
| |
| Abstract: | Membrane proteins are targets of many drugs.The study of the types of membrane proteins will help to designing drugs.Therefore,the correct recognition of membrane protein types is essential for drug design.In this study,total of 274 mycobacterial membrane proteins with < 40% sequence identity were constructed to train and test our model.By optimizing pseudo amino acid composition,support vector machine was proposed to discriminate the types of membrane proteins of Mycobacterium.Overall accuracy of Jackknife... |
| |
| Keywords: | Mycobacterium Pseudo amino acid composition Membrane protein Support vector machine Analysis of variance |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
