%0 Journal Article %A Kai-Ti Hsu and Hui-Ling Huang and Chun-Wei Tung and Yi-Hsiung Chen and Shinn-Ying Ho %D 2009 %J International Journal of Biomedical and Biological Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 29, 2009 %T Analysis of Physicochemical Properties on Prediction of R5, X4 and R5X4 HIV-1 Coreceptor Usage %U https://publications.waset.org/pdf/15320 %V 29 %X Bioinformatics methods for predicting the T cell coreceptor usage from the array of membrane protein of HIV-1 are investigated. In this study, we aim to propose an effective prediction method for dealing with the three-class classification problem of CXCR4 (X4), CCR5 (R5) and CCR5/CXCR4 (R5X4). We made efforts in investigating the coreceptor prediction problem as follows: 1) proposing a feature set of informative physicochemical properties which is cooperated with SVM to achieve high prediction test accuracy of 81.48%, compared with the existing method with accuracy of 70.00%; 2) establishing a large up-to-date data set by increasing the size from 159 to 1225 sequences to verify the proposed prediction method where the mean test accuracy is 88.59%, and 3) analyzing the set of 14 informative physicochemical properties to further understand the characteristics of HIV-1coreceptors. %P 262 - 269