Immunoinformatics prediction of potential B-cell and T-cell epitopes as effective vaccine candidates for eliciting immunogenic responses against Epstein-Barr virus.

Olotu FA, Soliman MES

Open source

DOI
10.1016/j.bj.2020.01.002
Published
2021 Jun
Container
Biomedical journal
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.bj.2020.01.002,
  title = {Immunoinformatics prediction of potential B-cell and T-cell epitopes as effective vaccine candidates for eliciting immunogenic responses against Epstein-Barr virus.},
  author = {Olotu FA and Soliman MES},
  year = {2021},
  journal = {Biomedical journal},
  doi = {10.1016/j.bj.2020.01.002},
  url = {https://doi.org/10.1016/j.bj.2020.01.002}
}

RIS

TY  - JOUR
TI  - Immunoinformatics prediction of potential B-cell and T-cell epitopes as effective vaccine candidates for eliciting immunogenic responses against Epstein-Barr virus.
AU  - Olotu FA
AU  - Soliman MES
PY  - 2021
JO  - Biomedical journal
DO  - 10.1016/j.bj.2020.01.002
UR  - https://doi.org/10.1016/j.bj.2020.01.002
ER  - 

APA

FA, O., & MES, S. (2021). Immunoinformatics prediction of potential B-cell and T-cell epitopes as effective vaccine candidates for eliciting immunogenic responses against Epstein-Barr virus.. Biomedical journal. https://doi.org/10.1016/j.bj.2020.01.002

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