The PDBbind dataset was used to train the model, specifically the PDBbind v.2020 refined set . The refined set comprises non-covalent co-crystal structures with a resolution lower than 2.5 Å and an R-factor lower than 0.250. Binding affinity values are expressed as pKi and pKd. We trained and evaluated the model on a holdout set which showed a mean absolute error (MAE) of 1.34 and a Spearman correlation coefficient (𝑆𝜌) of 0.66. We also performed a 10-fold cross-validation to assess the robustness and reliability of the results. Concluding our discussion, we present an analysis of the protein families where our model demonstrated higher accuracy.