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A sequence-based pan model for peptide-MHC II binding affinity prediction.

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DeepSeqPanII

Model

Liu, Z., Jin, J., Cui, Y., Xiong, Z., Nasiri, A., Zhao, Y., & Hu, J. (2021). DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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  • Code and dataset: Our implementation code for training and evaluation. Also dataset we used.
  • Models: Model trained on BD2013 and LOMO models trained on BD2016.

Citation

@article{liu2021deepseqpanii,
  title={DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding prediction},
  author={Liu, Zhonghao and Jin, Jing and Cui, Yuxin and Xiong, Zheng and Nasiri, Alireza and Zhao, Yong and Hu, Jianjun},
  journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics},
  year={2021},
  publisher={IEEE}
}

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MIT

About

A sequence-based pan model for peptide-MHC II binding affinity prediction.

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