Another recent exploration the chemical space of large and ultra-large chemical libraries is represented by the study of Dunn et al. . In that work, the authors introduced the Chemical Library Networks (CLNs) as a general and efficient approach to representing visually the chemical space of chemical libraries. Dunn et al, exemplified the use of the CLNs to analyze the diversity of 19 compound data sets commonly used in natural product research and drug discovery, containing more than 18 million molecules. Notably, the code used to create the CLNs is freely available and was used in a separate study to visually represent the chemical space of 11 synthetic compound libraries focused on epigenetic targets containing over 50,000 molecules . A survey of de novo virtual libraries , peptides , and food chemicals is another representative diversity analysis of compound libraries in the chemical space.