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Large-Scale Structure-Based Prediction of Stable Peptide Binding to Class I HLAs Using Random Forests

Prediction of stable peptide binding to Class I HLAs is an important component for designing immunotherapies. While the best performing predictors are based on machine learning algorithms trained on peptide-HLA (pHLA) sequences, the use of structure for training predictors deserves further explorati...

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Detalles Bibliográficos
Autores principales: Abella, Jayvee R., Antunes, Dinler A., Clementi, Cecilia, Kavraki, Lydia E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387700/
https://www.ncbi.nlm.nih.gov/pubmed/32793224
http://dx.doi.org/10.3389/fimmu.2020.01583