Then we can use these weights to bias the sampling of the different EVPs to yield an EVP-based diversity selection. This would allow for a set of compounds containing a range of different EVPs to be efficiently selected in an automated way. Other diversity sampling algorithms, such as the sphere exclusion algorithm, do not consider the topological differences between different EVPs in an explicit way. Furthermore, EVP-diversity selections can be made for higher level patterns or for a specific degree of substitution. By generating all of the observed EVPs, we also obtain by analogy a list of EVP gaps, i.e., the EVP space that is not covered or is only sparsely represented in an ensemble of molecules. This can be useful to highlight any areas of chemical space that might benefit from bespoke synthesis, or where the inclusion of further commercial libraries might be required to more fully cover the EVP space of interest. Furthermore, considering the EVP landscape in this way could open up new intellectual property (IP) space for exploration.