Hydrophobicity identifies false positives and false negatives in peptide-MHC binding.

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作者： Arnav,Solanki ^[1] ; Marc,Riedel ^[1] ; James,Cornette ^[2] ; Julia,Udell ^[3] ; George,Vasmatzis ^[4]

作者单位： Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States. ^[1] Department of Mathematics, Iowa State University, Ames, IA, United States. ^[2] Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States.;Biomarker Discovery Group, Mayo Clinic, Center for Individualized Medicine, Rochester, MN, United States. ^[3] Biomarker Discovery Group, Mayo Clinic, Center for Individualized Medicine, Rochester, MN, United States. ^[4]

关键词 MHC class I hydrophobicity machine learning neural networks peptide

DOI 10.3389/fonc.2022.1034810

PMID 36419888

发布时间 2024-09-07

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Frontiers in oncology

2022年12卷

1034810页

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Hydrophobicity identifies false positives and false negatives in peptide-MHC binding.

Frontiers in oncology

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Frontiers in oncology

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Hydrophobicity identifies false positives and false negatives in peptide-MHC binding.

Frontiers in oncology

相似文献

Frontiers in oncology

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检索历史清除