Structure-aware deep model for MHC-II peptide binding affinity prediction.

Yu, Ying; Zu, Lipeng; Jiang, Jiaye; Wu, Yafang; Wang, Yinglin; Xu, Midie; Liu, Qing

Yu, Ying; Zu, Lipeng; Jiang, Jiaye; Wu, Yafang; Wang, Yinglin; Xu, Midie; Liu, Qing.

Affiliation

Yu Y; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Zu L; Department of Computer Science, Florida State University, Tallahassee, 32306, USA.
Jiang J; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Wu Y; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Wang Y; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Xu M; Department of Pathology, Fudan University, Shanghai Cancer Center, Shanghai, 200032, China. xumd27202003@sina.com.
Liu Q; Department of Medical Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China. xumd27202003@sina.com.

BMC Genomics ; 25(1): 127, 2024 Jan 30.

Article de En | MEDLINE | ID: mdl-38291350

Sujet(s)
Mots clés

Affinity prediction; MHC-II molecules; Positional embedding

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Peptides / Antigènes d'histocompatibilité de classe I Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: BMC Genomics Sujet du journal: GENETICA Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

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