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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nat Biotechnol
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2019
Schlagworte:
Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7008090/
https://ncbi.nlm.nih.gov/pubmed/31844290
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41587-019-0322-9
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge