A large peptidome dataset improves HLA class I epitope prediction across most of the human population

Prediction of HLA epitopes is important for the development of cancer immunotherapies and vaccines. However, current prediction algorithms have limited predictive power, in part because they were not trained on high-quality epitope datasets covering a broad range of HLA alleles. To enable prediction...

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Detalles Bibliográficos
Autores principales: Sarkizova, Siranush, Klaeger, Susan, Le, Phuong M., Li, Letitia W., Oliveira, Giacomo, Keshishian, Hasmik, Hartigan, Christina R., Zhang, Wandi, Braun, David A., Ligon, Keith L., Bachireddy, Pavan, Zervantonakis, Ioannis K., Rosenbluth, Jennifer M., Ouspenskaia, Tamara, Law, Travis, Justesen, Sune, Stevens, Jonathan, Lane, William J., Eisenhaure, Thomas, Zhang, Guang Lan, Clauser, Karl R., Hacohen, Nir, Carr, Steven A., Wu, Catherine J., Keskin, Derin B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7008090/
https://www.ncbi.nlm.nih.gov/pubmed/31844290
http://dx.doi.org/10.1038/s41587-019-0322-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7008090/
https://www.ncbi.nlm.nih.gov/pubmed/31844290
http://dx.doi.org/10.1038/s41587-019-0322-9

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