MHC presentation prediction

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Most implemented papers archive 2025-07-28

3 shown of 3 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Interpreting BERT architecture predictions for peptide presentation by MHC class I proteins
  13 Nov 2021 1 repository listed
  In particular, we find that amino acids close to the peptides' N- and C-terminals are highly relevant.
• Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction
  4 Dec 2020 1 repository listed
  T-cell receptors can recognize foreign peptides bound to major histocompatibility complex (MHC) class-I proteins, and thus trigger the adaptive immune response.
• HLA class I binding prediction via convolutional neural networks
  3 Jan 2017 1 repository listed
  We then propose a deep convolutional neural network architecture, name HLA-CNN, for the task of HLA class I-peptide binding prediction.