NIH Reporter #1F30CA310069-01

Advancing cancer vaccine design using deep learning to predict peptide-HLA class I binding and immunogenicity

A research project funded by the National Cancer Institute to develop deep learning models for predicting peptide-HLA class I binding and immunogenicity to improve melanoma vaccine design.

Description

This project aims to improve cancer vaccine design for melanoma by employing deep learning models to predict peptide-HLA class I binding and immunogenicity. The work involves developing high-accuracy predictive models using active learning, high-throughput assays, and large language models trained on protein sequences. The goal is to refine peptide selection for vaccines and enhance therapeutic strategies.

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