The goal of the Protein Structure Initiative (PSI) for structural genomics is 10,000 datasets. Teams are working to solve protein structures, and the gallery of datasets that results will increase knowledge of protein types and assist with structure-based drug discovery. PSI is primarily located at U.S. institutions, but there are also large structural genomics projects ongoing in Japan, Canada, and the European Union. Participants and backers hope PSI will lead to development of a high-throughput protein structure determination pipeline. Structure-based drug design efforts, which use computer models and structural data are used to locate the correct small molecule fit and to streamline the number of leads, should also benefit. Knowledge of protein structures should speed functional study. As an example, steroid biochemist Henry Lardy, PhD, is interested in a protein structure solved by x-ray crystallography at the CESG, At2gt03760, that is a putative steroid sulfotransferase. Also discussed are the work of Sung-Hou Kim, PI with the Berkeley Structural Genomics Center and his colleagues, who showed a map that shows a 3D representation of the fold space (the demographics of 500 of the most common protein folds in which structurally similar folds are placed near each other), a research pilot for PSI, centers that have received funding during phase one of PSI, and issues related to target selection and identification of protein families.