Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model

Upasna Srivastava; Satendra Singh; Budhyash Gautam; Pramod Yadav; Madhu Yadav; George Thomas; Gurmit Singh

doi:10.6026/97320630013122

Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model

Bioinformation. 2017 May 31;13(5):122-130. doi: 10.6026/97320630013122. eCollection 2017.

Authors

Upasna Srivastava¹, Satendra Singh¹, Budhyash Gautam¹, Pramod Yadav¹, Madhu Yadav¹, George Thomas², Gurmit Singh³

Affiliations

¹ Department of Computational Biology and Bioinformatics, Sam Higginbottom Institute of Agriculture, Technology and Sciences,Allahabad-211007, India.
² Jacob School of Biotechnology and Bioengineering, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad-211007, India.
³ Department of Computer Science and Information Technology, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad-211007, India.

Abstract

Human Papilloma Virus (HPV) HPV type 16 E7 antigen is a known target in cervical cancer. We report the predicted potential epitopes in the E7 antigen. We further describe the subsequent interaction of these linear epitope peptides with the human TMEM 50 A structural model using molecular docking. This data finds application in the development of components towards HPV associated disease prevention.

Keywords: Cervical cancer; Discovery Studio; Epitopes; HPV; IEDB; TMEM 50.