This model was trained on complete ChEMBL data and provided good discriminating ability between organic scaffolds. The advantage of the parametric t-SNE over the vanilla t-SNE is the determinacy of the model. Because a pretrained model is an artificial neural network with fixed coefficients, it projects new compounds to known-in-advance regions of chemical space.