Integrating Protein Language and Geometric Deep Learning Models for Enhanced Vaccine Antigen Prediction

All data supporting the findings of this study are available within the article and its Supplementary Information files. The curated protective antigen datasets (positive and negative) generated and analyzed in this study are provided in Supplementary Data 1. The structural confidence metrics (pLDDT, pTM, PAE) for all 6,600 proteins are provided in Supplementary Data 2. The third-party validation dataset is provided in Supplementary Data 3. The Mpox virus proteome information is provided in Supplementary Data 4 , and the antigen prediction scores are in Supplementary Data 5. The homology analysis for G10R is provided in Supplementary Data 6. The complete dataset and all source data for figures are also publicly available in the Zenodo repository.