Chemical Computing Group
Joe Leonard is an experienced scientist with a robust background in computational chemistry and software development. Currently serving as a Principal Scientist (Emeritus) at Chemical Computing Group since August 2007, Joe contributes as a testing and information resource while previously playing a critical role in the development of the MOE software. Prior positions include Principal Scientist at Abbott Bioresearch Center, where Joe developed an in-house modeling system, and Product Manager at Tripos, Inc., leading the development of the SYBYL software and authoring the FlexiDock docking program. Joe began a science career in the US Army's CRDEC as a Research Physical Scientist, creating a chemical modeling system used widely across multiple sites. Joe holds a PhD in Chemistry from Duke University and a BA in Chemistry from the University of Pennsylvania.
Chemical Computing Group
CCG (Chemical Computing Group) is a leading supplier of software solutions for life sciences. With a proven track record in scientific innovation, CCG continues to provide state of the art applications in drug discovery to pharmaceutical, biotechnology and academic researchers. CCG headquarters are in Montreal (Canada), with support offices in North America, Europe and Asia. CCG’s software programs include: 1) Molecular Operating Environment (MOE) - a single package for visualization, molecular modeling, computer-aided molecular design (CAMD), cheminformatics, bioinformatics and methodology development. 2) PSILO® - Protein SILO - a database system that provides an easily accessible, consolidated repository for macromolecular and protein-ligand structural information as well as a means to systematically track, register and search both experimental and computational macromolecular structural data. CCG has a strong academic presence with MOE and PSILO® being used extensively in teaching and research in over 600 universities world wide. CCG's special programs and discounts encourage the adoption of computational life science methodologies by the scientific community.