For this article, two performance snapshots were conducted. The first one was done on the DrugBank database containing drug molecules (DrugBank "all structures" downloaded on 8 th November 2021). For comparison, the COCONUT NP database (downloaded on 1 st December 2021) was analysed as well. Additionally, for some analyses, a subset of COCONUT containing 40,000 structures was compiled from the complete collection using the RDKit MaxMin algorithm implementation . All analyses were conducted on a workstation computer with an Intel(R) Xeon(R) Gold 6254 CPU (18 cores, 3.10 GHz) and 512 GB RAM on a single core only (no multi-core parallelization). All Scaffold Generator settings were set to their default values. It is interesting to note that the enumeration of all possible parent scaffolds at every step required more computation time than the application of up to 13 prioritisation rules at every step. This was the case for NP as well as drug molecules which have less rings in general.