Immunoinformatics-Aided Analysis of RSV Fusion and Attachment Glycoproteins to Design a Potent Multi-Epitope Vaccine

Hamza Arshad Dar, Fahad Nasser Almajhdi, Shahkaar Aziz, Yasir Waheed

Open source

DOI
10.3390/vaccines10091381
Published
2022-08-24
Container
Vaccines
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/vaccines10091381,
  title = {Immunoinformatics-Aided Analysis of RSV Fusion and Attachment Glycoproteins to Design a Potent Multi-Epitope Vaccine},
  author = {Hamza Arshad Dar and Fahad Nasser Almajhdi and Shahkaar Aziz and Yasir Waheed},
  year = {2022},
  journal = {Vaccines},
  doi = {10.3390/vaccines10091381},
  url = {https://doi.org/10.3390/vaccines10091381}
}

RIS

TY  - JOUR
TI  - Immunoinformatics-Aided Analysis of RSV Fusion and Attachment Glycoproteins to Design a Potent Multi-Epitope Vaccine
AU  - Hamza Arshad Dar
AU  - Fahad Nasser Almajhdi
AU  - Shahkaar Aziz
AU  - Yasir Waheed
PY  - 2022
JO  - Vaccines
DO  - 10.3390/vaccines10091381
UR  - https://doi.org/10.3390/vaccines10091381
ER  - 

APA

Dar, H. A., Almajhdi, F. N., Aziz, S., & Waheed, Y. (2022). Immunoinformatics-Aided Analysis of RSV Fusion and Attachment Glycoproteins to Design a Potent Multi-Epitope Vaccine. Vaccines. https://doi.org/10.3390/vaccines10091381

Source records