• List of images: For each SMILES string in the list, we return a twodimensional image of the compound structure. • Single image: The maximum common substructure (MCS) of all compounds is calculated.An image of the two-dimensional MCS is returned. • List of images with MCS highlight: The MCS of all compounds is calculated, and a list of images is returned with the MCS on the two-dimensional structure of each compound highlighted. • List of images with contribution highlight: For each compound in the list, we retrieve the corresponding data point from the stored table. We extract the serialized column that contains the atom-level information and return images of the two-dimensional structure of the compounds with the attributions color-coded in green (positive score) and magenta (negative score). The magnitude of the value is displayed with contour lines. • List of substructure count: For each compound in the list, we check how often a provided substructure occurs. The rendering of compounds and most compound calculations are done with the help of RDKit functions.