Prediction of High-Risk Types of Human Papillomaviruses Using Reduced Amino Acid Modes.

Xinnan Xu,Xiaoqing Liu,Qi Dai,Pingan He,Rui Kong

doi:10.1155/2020/5325304

Abstract

A human papillomavirus type plays an important role in the early diagnosis of cervical cancer. Most of the prediction methods use protein sequence and structure information, but the reduced amino acid modes have not been used until now. In this paper, we introduced the modes of reduced amino acids to predict high-risk HPV. We first reduced 20 amino acids into several nonoverlapping groups and calculated their structure and physicochemical modes for high-risk HPV prediction, which was tested and compared with the existing methods on 68 samples of known HPV types. The experiment result indicates that the proposed method achieved better performance with an accuracy of 96.49%, indicating that the reduced amino acid modes might be used to improve the prediction of high-risk HPV types.

Highlights

Cervical cancer is a cancer with a higher morbidity and mortality rate among women worldwide [1]
The results of E5, E6, E7, L1, and L2 proteins are similar to those of E2 proteins, and the six reduced AA modes show better performance in beta physicochemical properties. These results indicate that E5, E6, E7, L1, and L2 proteins have a preference for beta physicochemical properties to reduce amino acids and calculate the six reduced AA modes in human papillomavirus (HPV) type prediction
Genital papillomavirus is closely related to cervical cancer, especially high-risk HPV

Summary

Introduction

Cervical cancer is a cancer with a higher morbidity and mortality rate among women worldwide [1]. Studies have indicated that human papillomavirus (HPV) infection is closely related to the occurrence and development of cervical cancer, and certain types of HPV cause abnormal tissue growth in the form of papilloma [5,6,7]. Human papillomavirus belongs to the papillomavirus family. It is an icosahedral, uncoated particle composed of double-stranded DNA of approximately 8,000 nucleotide base pairs [8, 9]. Genital HPV can be divided into three types according to its relative malignancy: low-risk type, intermediate-risk type, and high-risk type. The clinical association studies usually use two types of HPV: high-risk and low-risk. The identification of high-risk HPV has become an important part of the diagnosis and treatment of cervical cancer

Methods

Results

Conclusion