2026-08-29T14:07:50Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/265762025-12-18T13:01:22Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19609
Repisalud
author
Lopez, Daniel
author
Zumárraga, Javier
funder
Ministerio de Ciencia e Innovación (España)
2025-03-26T11:05:00Z
2025-03-26T11:05:00Z
2024-12-16
López D, Zumárraga J. Bioinformatic Tools for Studying the Cellular Immune Response to SARS-CoV-2, Vaccine Efficacy, and Future Pandemics at the Global Population Level. Int J Mol Sci. 2024 Dec 16;25(24):13477.
10.3390/ijms252413477
1422-0067
International journal of molecular sciences
39769240
https://hdl.handle.net/20.500.12105/26576
Antigen recognition by human leukocyte antigen (HLA) restriction is critical for an adequate antiviral response in both natural infection and vaccination. However, the overwhelming polymorphism of HLA, with nearly 40,000 alleles identified, is an important limitation for the global analysis of cellular immune responses and vaccine efficacy. In this narrative review, we included several immunoinformatics studies performed in our laboratory to circumvent this limitation. These analyses focused on studying the cellular immune responses restricted by the most common HLA alleles, and their role in vaccine efficacy. Computational studies validated experimentally, such as our laboratory has carried out, represent a useful, rapid, and cost-effective strategy to combat future pandemics.
eng
HLA
SARS-CoV
Cellular response
Immunoinformatics
Vaccine
Bioinformatic Tools for Studying the Cellular Immune Response to SARS-CoV-2, Vaccine Efficacy, and Future Pandemics at the Global Population Level
review article
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URL
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File
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6427a32937645aa046a7e4ee7f590c01
3436468
application/pdf
BioinformaticToolsStudyingCellularImmune_2024.pdf