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TEIP: A Compact, Open-Source Framework for Predicting Tumor Epitope Immunogenicity in Glioblastoma Cancer Using Deep Learning and Multi-Modal Biological Features

2025-11-11

Abstract excerpt

Identifying immunogenic tumor epitopes (neoantigens) is critical for cancer vaccine and T-cell therapy design. We propose **TEIP** (Tumor Epitope Immunogenicity Predictor), an integrative computational pipeline that combines sequence-based deep learning, HLA-binding affinity prediction, and immunogenomic filters to predict and prioritize T-cell epitopes. TEIP uses a multi-branch neural network to model peptide HLA...

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Literature Corpus work: 77ef1cc5-abba-5696-849d-accf2ec69bdb
DOI: 10.1101/2025.11.09.687510

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