Fig. 1
From: PSnpBind-ML: predicting the effect of binding site mutations on protein-ligand binding affinity
Overview of PSnpBind-ML methodology composed of two regression models. The first model predicts wild-type protein-ligand binding affinity using the numerical representation of the protein, ligand and the binding site. The second model uses the wild-type protein-ligand binding affinity besides numerical representation of the mutation to predict the mutated protein-ligand binding affinity