Our findings indicate that the predicted compounds differ from the compounds in USPTO in various aspects. The drug-likeliness is slightly lower while the scaffolds diversity is slightly higher. Despite these differences, our method appears to be capable of generating compounds with desired properties. The proposed method is a fast and simple way to expand the chemical space within an organization considering existing compounds and chemical reaction knowledge from the internal electronic laboratory notebooks. Our contribution with this work is a novel de novo design method which emphases the chemical accessibility when generating de novo libraries.