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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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2020-07-01
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| Col·lecció: | Frontiers in Immunology |
| Matèries: | |
| Accés en línia: | https://www.frontiersin.org/article/10.3389/fimmu.2020.01583/full |
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