Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction

@inproceedings{Han2017DeepCN,
  title={Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction},
  author={Youngmahn Han and Dongsup Kim},
  booktitle={BMC Bioinformatics},
  year={2017}
}
Computational scanning of peptide candidates that bind to a specific major histocompatibility complex (MHC) can speed up the peptide-based vaccine development process and therefore various methods are being actively developed. Recently, machine-learning-based methods have generated successful results by training large amounts of experimental data. However, many machine learning-based methods are generally less sensitive in recognizing locally-clustered interactions, which can synergistically… CONTINUE READING