Raman chemical mapping reveals site of action of HIV protease inhibitors in HPV16 E6 expressing cervical carcinoma cells-Reference-Cited by-同舟云学术

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Raman chemical mapping reveals site of action of HIV protease inhibitors in HPV16 E6 expressing cervical carcinoma cells

Published:2010-10-19 Issue:7-8 Volume:398 Page:3051-3061
ISSN:1618-2642
Container-title:Analytical and Bioanalytical Chemistry
language:en
Short-container-title:Anal Bioanal Chem

Author:

Kim Dong-Hyun,Jarvis Roger M.,Allwood J. William,Batman Gavin,Moore Rowan E.,Marsden-Edwards Emma,Hampson Lynne,Hampson Ian N.,Goodacre Royston

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s00216-010-4283-6.pdf

Reference38 articles.

1. zur Hausen H (1996) Papillomavirus infections—a major cause of human cancers. Biochim Biophys Acta 1288:55–78

2. de Villiers EM (1989) Heterogeneity of the human papillomavirus group. J Virol 63:4898

3. Scheffner M, Werness BA, Huibregtse JM, Levine AJ, Howley PM (1990) The e6 oncoprotein encoded by human papillomavirus types 16 and 18 promotes the degradation of p53. Cell 63:1129–1136

4. Harper DM, Franco EL, Wheeler C, Ferris DG, Jenkins D, Schuind A, Zahaf T, Innis B, Naud P, De Carvalho NS, Roteli-Martins CM, Teixeira J, Blatter MM, Korn AP, Quint W, Dubin G (2004) Efficacy of a bivalent l1 virus-like particle vaccine in prevention of infection with human papillomavirus types 16 and 18 in young women: a randomised controlled trial. Lancet 346:1757–1765

5. Munoz N, Bosch FX, de Sanjose S, Herrero R, Castellsague X, Shah KV, Snijders PJF, Meijer CJLM (2003) Epidemiologic classification of human papillomavirus types associated with cervical cancer. N Engl J Med 348:518–527

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1. Small Molecule Inhibitors of Human Papillomavirus: A Review of Research from 1997 to 2021;Current Medicinal Chemistry;2023-07-13

2. The Reservoir of Persistent Human Papillomavirus Infection; Strategies for Elimination Using Anti-Viral Therapies;Viruses;2022-01-22

3. Machine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy;Scientific Reports;2021-12

4. Machine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy;2021-08-23

5. Сlinical and morphological case of cervical cancer due to HIV-associated infection;HIV Infection and Immunosuppressive Disorders;2021-06-19

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