A Novel Ensemble Machine Learning Model for Prediction of Zika Virus T-Cell Epitopes-Reference-Cited by-同舟云学术

A Novel Ensemble Machine Learning Model for Prediction of Zika Virus T-Cell Epitopes

Published:2021-11-22 Issue: Volume: Page:275-292
ISSN:2367-4512
Container-title:Proceedings of Data Analytics and Management
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Author:

Bukhari Syed Nisar Hussain,Jain Amit,Haq Ehtishamul

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6285-0_23

Reference47 articles.

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2. WHO (1948) Report of World Health Organization. Indian J Pediat. https://www.who.int/news-room/fact-sheets/detail/zika-virus

3. Mirza MU et al (2016) Towards peptide vaccines against Zika virus: Immunoinformatics combined with molecular dynamics simulations to predict antigenic epitopes of Zika viral proteins. Sci Rep 2016(December):1–18. https://doi.org/10.1038/srep37313

4. Pandey RK (2018) Designing B- and T-cell multi-epitope based subunit vaccine using immunoinformatics approach to control Zika virus infection. J Cell Biochem 1–12. https://doi.org/10.1002/jcb.27110

5. Lindenbach BD, Rice CM (2003) Molecular biology of flaviviruses. Adv Virus Res 59(23):61

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