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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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| Pubblicato in: | Front Immunol |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7387700/ https://ncbi.nlm.nih.gov/pubmed/32793224 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fimmu.2020.01583 |
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