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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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| 發表在: | Front Immunol |
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| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Frontiers Media S.A.
2020
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| 主題: | |
| 在線閱讀: | 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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