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人乳头瘤病毒16型E7抗原的线性表位预测及其与人TMEM 50A结构模型的对接相互作用

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

作者信息

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

机构信息

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

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

出版信息

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

DOI:10.6026/97320630013122
PMID:28690376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5498776/
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.

摘要

人乳头瘤病毒（HPV）16型E7抗原是宫颈癌中一个已知的靶点。我们报告了E7抗原中预测的潜在表位。我们进一步描述了这些线性表位肽与使用分子对接的人跨膜蛋白50A结构模型的后续相互作用。该数据在开发针对HPV相关疾病预防的组件中得到应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/cc522af78e98/97320630013122F10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/d8ded3151023/97320630013122F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/84b126f556a9/97320630013122F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/ff7e428bd82d/97320630013122F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/5be56f9ab494/97320630013122F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/e3233e971092/97320630013122F5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/328cd9e93b1a/97320630013122F6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/254285312523/97320630013122F7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/68943cdef8b1/97320630013122F8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/d3c7d5c4d30c/97320630013122F9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/cc522af78e98/97320630013122F10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/d8ded3151023/97320630013122F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/84b126f556a9/97320630013122F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/ff7e428bd82d/97320630013122F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/5be56f9ab494/97320630013122F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/e3233e971092/97320630013122F5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/328cd9e93b1a/97320630013122F6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/254285312523/97320630013122F7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/68943cdef8b1/97320630013122F8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/d3c7d5c4d30c/97320630013122F9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa61/5498776/cc522af78e98/97320630013122F10.jpg

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J Chem Inf Model. 2011 Oct 24;51(10):2515-27. doi: 10.1021/ci200193z. Epub 2011 Sep 15.
2
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Bioinformatics. 2007 Dec 15;23(24):3397-9. doi: 10.1093/bioinformatics/btm474. Epub 2007 Oct 12.
3
Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method.
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BMC Bioinformatics. 2007 Jul 4;8:238. doi: 10.1186/1471-2105-8-238.
4
FireDock: fast interaction refinement in molecular docking.FireDock：分子对接中快速的相互作用优化
Proteins. 2007 Oct 1;69(1):139-59. doi: 10.1002/prot.21495.
5
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6
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7
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8
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9
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10
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