In silico comparison of low- and high-risk human papillomavirus proteins.
Human papillomavirus (HPV) is an important pathogen which is classified into two, high- and low-risk groups. The proteins of high-risk and low-risk HPV types have different functions. Therefore, there is a need to develop a computational method for predicting these two groups. In the present study, the physiochemical properties of all early (E1, E2, E4, E5, E6, and E7) and late (L1 and L2) proteins in high- and low-risk HPV types have been studied. The concept of receiver operating characteristic analysis and support vector machines methods has been used for comparison of high- and low-risk HPV types. The results demonstrate that amino acid composition, physiochemical, and secondary structure of E2 protein are significantly different between these two groups. The results demonstrate that in silico properties can create useful information to predict high-risk and low-risk HPV types.
Department of Biotechnology, Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran.
Mahsa
M
Alemi
Hassan
H
Mohabatkar
Mandana
M
Behbahani
D003198:Computer Simulation; D020407:Internet; D027383:Papillomaviridae / Q000378:metabolism / Q000502:physiology*; D055550:Protein Stability; D017433:Protein Structure, Secondary; D012372:ROC Curve; D012306:Risk; D014764:Viral Proteins / Q000737:chemistry* / Q000378:metabolism
D014764:Viral Proteins