The increasing availability of data related to genes, proteins and their modulation by small molecules, paralleled by the emergence of simulation tools in systems biology, has provided a vast amount of biological information. However, there is a critical need to develop cheminformatics tools that can integrate chemical knowledge with these biological databases, with the goal of creating systems chemical biology.Hailed as a departure from the "reductionist approach", where investigators dedicate their efforts to the study of a single gene or protein, systems biology is generally regarded as the "comprehensive approach". Large networks describing the regulation of entire genomes, metabolic or signal transduction pathways are analyzed in their totality at different levels of biological organization 1 . Systems biology, which blends theory, computational modeling, and high-throughput experimentation 2 , has already led to advances in the understanding of cell signaling 3 , developmental biology 4 , cell physiology 5 , and metabolic networks 6 . However, despite these advances in biological insight, what is currently lacking from these approaches is any holistic understanding of how small molecules affect biological systems. The introduction of cheminformatics tools that can be seamlessly integrated with currently available bio-and cheminformatic databases and biological network simulations and software will be required to move toward a systematic understanding of the way small molecules impact biological systems -a field which we call "systems chemical biology."Although some systems biology approaches have been applied to targets in lead 7 and drug discovery 8,9 within the pharmaceutical industry, this type of general integration of chemistry and systems biology has not yet been seen in academics. However, a tremendous opportunity now exists because academic biomolecular screening efforts, particularly the Molecular Libraries Screening Centers Network (MLSCN) being funded by the NIH Roadmap via the Molecular Libraries Initiative (MLI) 10 have created a wealth of systematic data describing the biological effects of small molecules. The new data that is being generated is particularly valuable because it extends information beyond the relatively limited number of biological and screening data available from industry to the entire array of macromolecules and macromolecular networks that are being experimentally evaluated in academic laboratories. Via the MLI, the effects of hundreds of thousands of small molecules on biological systems of varied complexity, ranging from screens with purified targets to simultaneous multi-target (multiplex) screens, phenotypic screens, and even whole organism assays, are being investigated. Central to the MLI is public access, and bioassay data from MLSCN screens are being deposited in PubChem, a freely accessible database. This unprecedented effort has created an opportunity to integrate chemical