Prediction of bacteriophage proteins located in the host cell using hybrid features

Abstract

The identification of bacteriophage proteins in the host subcellular localization could provide important clues for understanding the interaction between phage and host bacteria as well as antibacterial drug design. To date, computational methods have been reported to identify bacteriophage proteins located in the host cell. However, there is still space for improving the prediction accuracy. The existing methods considering the sequence order correlation and the physicochemical property of protein provide us insights to construct an integrated descriptor based on sequence for phage proteins. Meanwhile, we proposed a feature selection technique to obtain the optimal features. In the jackknife test, the prediction accuracies are 86.7% and 97.9%, respectively for discrimination between PH proteins and non-PH proteins as well as PHM proteins and PHC proteins. Based on our model, we updated the web server PHPred to version 2.0 which can be freely accessed from http://lin-group.cn/server/PHPred2.0.