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

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. Th...

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Detalles Bibliográficos
Autores principales: Srivastava, Upasna, Singh, Satendra, Gautam, Budhyash, Yadav, Pramod, Yadav, Madhu, Thomas, George, Singh, Gurmit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2017
Materias:
Hypothesis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498776/
https://www.ncbi.nlm.nih.gov/pubmed/28690376
http://dx.doi.org/10.6026/97320630013122
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author Srivastava, Upasna
Singh, Satendra
Gautam, Budhyash
Yadav, Pramod
Yadav, Madhu
Thomas, George
Singh, Gurmit
author_facet Srivastava, Upasna
Singh, Satendra
Gautam, Budhyash
Yadav, Pramod
Yadav, Madhu
Thomas, George
Singh, Gurmit
author_sort Srivastava, Upasna
collection PubMed
description 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.
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spelling pubmed-54987762017-07-07 Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model Srivastava, Upasna Singh, Satendra Gautam, Budhyash Yadav, Pramod Yadav, Madhu Thomas, George Singh, Gurmit Bioinformation Hypothesis 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. Biomedical Informatics 2017-05-31 /pmc/articles/PMC5498776/ /pubmed/28690376 http://dx.doi.org/10.6026/97320630013122 Text en © 2017 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ 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.
spellingShingle Hypothesis
Srivastava, Upasna
Singh, Satendra
Gautam, Budhyash
Yadav, Pramod
Yadav, Madhu
Thomas, George
Singh, Gurmit
Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model
title Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model
title_full Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model
title_fullStr Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model
title_full_unstemmed Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model
title_short Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model
title_sort linear epitope prediction in hpv type 16 e7 antigen and their docked interaction with human tmem 50a structural model
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498776/
https://www.ncbi.nlm.nih.gov/pubmed/28690376
http://dx.doi.org/10.6026/97320630013122
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