Prediction of protein interactions with function in protein (de-)phosphorylation
Fig 3
Properties of the 14 features that were used for building the model.
(A) Distributions of r, theta, degree centrality (DC), betweenness centrality (BC), closeness centrality (CC) and eigenvector centrality (EC), hyperbolic distance and r distance. (B) Feature importance values indicate the impact of each predictor on the prediction model. For this study, the angular coordinates of the of effector and target proteins in the hyperbolic space are the most highly significant predictors of the model, confirming the importance of the embedding of the hPIN in H2.