A highly effective system for predicting mhc-ii epitopes with immunogenicity

HIGHLIGHTS

  • who: Shi Xu and collaborators from the Department of AI and Bioinformatics, Nanjing Chengshi BioTech (TheraRNA) Co, Ltd, Nanjing, China Yat-sen University Cancer Center have published the Article: A Highly Effective System for Predicting MHC-II Epitopes With Immunogenicity, in the Journal: (JOURNAL)
  • what: The authors developed an overarching framework to predict MHC-II epitopes: the convolutional neural_network (CNN) model predicts the probability of a peptide to be presented to the cell surface by a designated MHC subtype, as well as its immunogenicity to activate immune T_cells. To develop more powerful tools for predicting . . .

     

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