Research Article
Study of Immunoinformatics On E2 Protein of Type 16 HPV to Predict Cervical Cancer Peptide Vaccine Candidate
@INPROCEEDINGS{10.4108/eai.11-7-2019.2298068, author={Yani Suryani and Opik Taupiqurrohman}, title={Study of Immunoinformatics On E2 Protein of Type 16 HPV to Predict Cervical Cancer Peptide Vaccine Candidate}, proceedings={Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.}, publisher={EAI}, proceedings_a={ICONISTECH}, year={2021}, month={1}, keywords={cervical cancer e2 protein gene e2 type 16 hpv immunoinformatics }, doi={10.4108/eai.11-7-2019.2298068} }- Yani Suryani
Opik Taupiqurrohman
Year: 2021
Study of Immunoinformatics On E2 Protein of Type 16 HPV to Predict Cervical Cancer Peptide Vaccine Candidate
ICONISTECH
EAI
DOI: 10.4108/eai.11-7-2019.2298068
Abstract
The aim of this study was to predict cervical cancer peptide vaccine candidates from the E2 protein of type 16 Human papillomavirus (HPV). The method used is immunoinformatics. Immunoinformatics is a branch of bioinformatics that focuses on the computer simulation of the immune system, one of which is the development of peptide vaccines. The tools used is a personal computer and the materials consist of a sequence of E2 protein, the crystal structure of MHC I and II, software IEDB-AR, CABSdock and Accelrys Discovery Study 4.5. Based on analysis of result that peptide sequence of cervical cancer vaccine candidate is TLQDVSLEV (Threonine, Leucine, Glutamine, Acid Aspartate, Valine, Serine, Leucine, Glutamic Acid, and Valine) and FKHINHQVVPTLAVS (Phenylalanine, Lysine, Histidine, Isoleucine, Asparagine, Histidine, Glutamine, Valine, Valine, Proline , Threonine, Leusin, Alanine, Valine and Serine).
