In this section, we present the results of our study aimed at predicting binding affinity from protein-ligand complexes. We will start by discussing our approach for modeling macromolecule complexes using graph representations. Then we will continue to describe the generation and optimization of the graph neural network model. Finally, we showcase the performance and robustness of the model on holdout sets.