By overlapping the queries with a data set of 201 761 natural products compiled as part of the work reported in ref 32, we determined that at least eight out of the 321 (unique) CSMs are natural products (which is a surprisingly low portion of natural products). Using NP-Scout, 32 a machine learning approach for identifying natural products in large molecular libraries, we identified an additional 30 CSMs with a high likelihood (probability > 0.70) of being natural products (these compounds are natural product-like). The 38 natural products and natural product-like compounds cover a total of 25 different targets; 14 of the queries are macrocyclic.