Code for the DiscoTope-3.0 paper and model
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Updated
May 5, 2026 - Python
Code for the DiscoTope-3.0 paper and model
ISOform-guided prediction of epiTOPEs in cancer
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
A Python package that has functions for featue calculation of protein sequences. Features that are calculated by this package are niched for Epitope prediction.
Comprehensive in-silico subunit vaccine discovery workflow
Linear Epitope Predictions in SARS-CoV-19 Spike Protein
BMEB Thesis project which develops ssDNA aptamer sequences from probabilistic data per provided protein epitope.
Study of 4 different GNNs for Conformational Epitope Prediction of B-Cells proteins
Data Mining exercise of epitope prediction and classification of virus based on protein data
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.
Proteome-wide detection of immunogenic hotspots
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