In the field of de novo drug design, the most attractive feature of DNNs is their ability to probabilistically generate compound structures . DNNs are able to take non-trivial structure-activity patterns into account, thereby increasing the potential for scaffold hopping and the diversity of designed molecules . A large number of generators based on DNNs were developed recently demonstrating the ability of various network architectures to generate compounds of given properties (biological activity included) .