carlomazzaferro/mhcPreds
MHC-antigen affinity prediction using TensorFlow.
This project helps immunologists and vaccine developers predict how strongly a specific protein segment (peptide) will bind to an MHC molecule. You input peptide sequences and the MHC allele, and it outputs a prediction of their binding affinity. This tool is designed for researchers studying immune responses and designing vaccines.
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Use this if you need to computationally predict the binding strength between peptides and MHC Class I molecules for specific HLA alleles.
Not ideal if you need predictions for MHC Class II molecules or require a pre-trained model for immediate use without significant setup time.
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Last pushed
Apr 22, 2017
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/carlomazzaferro/mhcPreds"
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