Because featurisation in this case deals with molecular perturbation and not single molecules, a fingerprint subtraction technique was used where each bit value of ligand B is subtracted from the bit value of ligand A. For each descriptor type, the featurised RBFE-Space was normalised and dimensionalities were reduced using principle component analysis (PCA) using the SKLearn implementation set to keep the 100 most contributing components.