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PepTCR-Net: prediction of multi-class antigen peptides by T-cell receptor sequences with deep learning.

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第一作者： Phi,Le

第一单位： Department of Medicine, University of California San Francisco, 550 16th Street, San Francisco, CA 94158, United States.

作者： Phi,Le ^[1] ; Leah,Ung ^[1] ; Hai,Yang ^[2] ; Anwen,Huang ^[3] ; Tao,He ^[4] ; Peter,Bruno ^[5] ; David Y,Oh ^[6] ; Bridget P,Keenan ^[6] ; Li,Zhang ^[7]

作者单位： Department of Medicine, University of California San Francisco, 550 16th Street, San Francisco, CA 94158, United States. ^[1] Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd St. San Francisco, CA 94158, United States. ^[2] Department of Medicine, University of California San Francisco, 550 16th Street, San Francisco, CA 94158, United States.;University of California Berkeley, 110 Sproul Hall, Berkeley, CA 94720, United States. ^[3] Department of Mathematics, San Francisco State University, 1600 Holloway AvenueSan Francisco, CA 94132, United States. ^[4] Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd St. San Francisco, CA 94158, United States.;Department of Urology, University of California San Francisco, 1450 3rd StreetSan Francisco, CA 94158, United States. ^[5] Department of Medicine, University of California San Francisco, 550 16th Street, San Francisco, CA 94158, United States.;Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd St. San Francisco, CA 94158, United States. ^[6] Department of Medicine, University of California San Francisco, 550 16th Street, San Francisco, CA 94158, United States.;Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd St. San Francisco, CA 94158, United States.;Department of Epidemiology & Biostatistics, University of California San Francisco, 550 16th Street, San Francisco, CA 94158, United States. ^[7]

关键词 Atchley factor T-cell receptor network antigen peptides encoder–decoder graph embedding neural networks

医学主题词人类(Humans);受体, 抗原, T细胞(Receptors, Antigen, T-Cell);肽类(Peptides);计算生物学(Computational Biology);贝叶斯定理(Bayes Theorem)

DOI 10.1093/bib/bbaf351

PMID 40702702

发布时间 2025-07-31

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