Predicting Bacteriophage Enzymes and Hydrolases by Using Combined Features
Predicting Bacteriophage Enzymes and Hydrolases by Using Combined Features
复制标题
使用组合特征预测噬菌体酶和水解酶
DOI：
10.3389/fbioe.2020.00183
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发表时间：
2020-03-24
影响因子：
5.7
通讯作者：
Tang, Hua
中科院分区：
文献类型：
--
作者：
Li, Hong-Fei;Wang, Xian-Fang;Tang, Hua
噬菌体是一种能够感染宿主细菌的病毒。它们已被应用于治疗病原性细菌感染。噬菌体酶和水解酶在细菌细胞的破坏中起着最重要的作用。正确鉴定噬菌体编码的水解酶，不仅有利于对其功能的研究，而且有助于抗菌药物的发现。因此，本工作旨在识别噬菌体中的酶和水解酶。不同特征的组合用于代表噬菌体和水解酶的样品。一种称为方差分析的特征选择技术被开发出来以优化特征。采用支持向量机（SVM）进行分类。预测过程包括两个步骤。第一步是鉴定噬菌体酶。第二步是确定噬菌体酶是否是水解酶。刀切交叉验证的结果表明，我们的方法可以产生85.1%和94.3%，分别为两个预测的整体精度，表明该方法是有前途的。
Bacteriophage is a type of virus that could infect the host bacteria. They have been applied in the treatment of pathogenic bacterial infection. Phage enzymes and hydrolases play the most important role in the destruction of bacterial cells. Correctly identifying the hydrolases coded by phage is not only beneficial to their function study, but also conducive to antibacteria drug discovery. Thus, this work aims to recognize the enzymes and hydrolases in phage. A combination of different features was used to represent samples of phage and hydrolase. A feature selection technique called analysis of variance was developed to optimize features. The classification was performed by using support vector machine (SVM). The prediction process includes two steps. The first step is to identify phage enzymes. The second step is to determine whether a phage enzyme is hydrolase or not. The jackknife cross-validated results showed that our method could produce overall accuracies of 85.1 and 94.3%, respectively, for the two predictions, demonstrating that the proposed method is promising.