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STMHCpan, an accurate Star-Transformer-based extensible framework for predicting MHC I allele binding peptides.
Ye, Zheng; Li, Shaohao; Mi, Xue; Shao, Baoyi; Dai, Zhu; Ding, Bo; Feng, Songwei; Sun, Bo; Shen, Yang; Xiao, Zhongdang.
  • Ye Z; State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
  • Li S; State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
  • Mi X; State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
  • Shao B; State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
  • Dai Z; State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
  • Ding B; Department of Obstetrics and Gynecoloty, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
  • Feng S; Department of Obstetrics and Gynecoloty, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
  • Sun B; State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
  • Shen Y; Department of Obstetrics and Gynecoloty, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
  • Xiao Z; State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
Brief Bioinform ; 24(3)2023 05 19.
Article en En | MEDLINE | ID: mdl-37122066

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Péptidos / Algoritmos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Péptidos / Algoritmos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article