Code for the DiscoTope-3.0 paper and model
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Updated
Apr 18, 2026 - Python
Code for the DiscoTope-3.0 paper and model
ISOform-guided prediction of epiTOPEs in cancer
A Python package that has functions for featue calculation of protein sequences. Features that are calculated by this package are niched for Epitope prediction.
This repository describe the usage of neural networks to predict the affinity of peptides to MHC type I for humans. Neural networks was written in tensorflow and keras
Comprehensive in-silico subunit vaccine discovery workflow
Study of 4 different GNNs for Conformational Epitope Prediction of B-Cells proteins
Linear Epitope Predictions in SARS-CoV-19 Spike Protein
BMEB Thesis project which develops ssDNA aptamer sequences from probabilistic data per provided protein epitope.
Data Mining exercise of epitope prediction and classification of virus based on protein data
Proteome-wide detection of immunogenic hotspots
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.
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