Title

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

Authors

Upasna Srivastava^1,*, Satendra Singh¹, Budhyash Gautam¹, Pramod Yadav¹, Madhu Yadav¹, George Thomas², Gurmit Singh³

Affiliation

¹Department of Computational Biology and Bioinformatics, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad-211007, India;

²Jacob School of Biotechnology and Bioengineering, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad-211007, India;

³Department of Computer Science and Information Technology, Sam Higginbottom Institute of
Agriculture, Technology and Sciences, Allahabad-211007, India;

Email

lprincy149@rediffmail.com

Article Type

Hypothesis

Date

Received August 10, 2016; Accepted November 5, 2016; Published May 31, 2017

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:

HPV, Cervical cancer, IEDB, Discovery Studio, Epitopes, TMEM 50

Citation

Srivastava et al. Bioinformation 13(5): 122-130 (2017)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.