This model based on deep learning method can be used to predict peptide binding MHC class II molecules. The advantage of this model is to ignore the length of peptide.
In other words, the same model can be used to predict different peptides with different length. We have trained different models for 29 alleles, including 27 human alleles and 2 mouse alleles.
All steps to use the model to predict peptide binding MHC class I are as follow:
To paste a peptide sequence into the text area, or to upload a file containing some peptide sequences.
To select a species.
To select allele or to upload a file containing some alleles.
To select a output types including ic50 or score.
Dataset and code download
This dataset including 29 allele subdatasets, including 27 hunman alleles and 2 mouse alleles. Every dataset contains four files, including training set, test set, validation set and independent test set. We also supply python code of our biLSTM models. Please download datasets by clicking the link below: