Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.
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Updated
Nov 17, 2023 - R
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epitope-immunogenicity-prediction
Here are 5 public repositories matching this topic...
Bayesian inference of Activation of TCR by Mutant Antigens
immunology bayesian-inference immunoinformatics epitope-prediction-methods tcr-epitope epitope-immunogenicity-prediction epitope-datasets peptide-bioinformatics t-cell-response
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Jun 6, 2026 - Python
Bayesian inference of Activation of TCR by Mutant Antigens
immunology bayesian-inference immunoinformatics epitope-prediction-methods tcr-epitope epitope-immunogenicity-prediction epitope-datasets peptide-bioinformatics t-cell-response
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Updated
Jun 6, 2026 - Python
A Python script of Repitope prioritization framework
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May 4, 2019 - Python
An ML-based immunogenicity predictor for T-cell epitopes of Mycobacterium Tuberculosis. It is purely based on amino acid sequences of epitope. Used Physicochemical descriptors and Amino Acid composition to make this proteomic data ML ready.
random-forest bioinformatics-pipeline amino-acid-sequence immunoinformatics epitopes-prediction mycobacterium-tuberculosis epitope-immunogenicity-prediction immunogenicity-prediction t-cell-epitope
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Mar 7, 2026 - Python
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