GeneGo Launches MetaDrug for Systems - ADME/Tox

GeneGo, A leading systems biology company, today announced the official launch of MetaDrug V1.0. MetaDrug is a pioneering Systems - ADME/Tox platform which combines software for predicting metabolites and over 40 ADME/Tox properties with visualization and analysis of toxicogenomics and metabolomics data. MetaDrug can be used as a stand alone product or together with MetaCore, GeneGo's flagship analytical platform. "MetaDrug is the first commercial product that merges ADME/Tox predictions in human with systems biology," said Dr. Sean Ekins, Vice President, Computational Biology. MetaDrug contains an extensive, expert curated database of small molecule content related to human drug metabolism, algorithms for predicting and prioritization of metabolites, the ability to highlight reactive metabolites and the most extensive set of predictive ADME/Tox models available. MetaDrug also enables analysis of toxicogeneomics data that can be visualized on networks and on static pathways maps. The user can therefore interpret both chemical and biological data in the context of the whole organism, merging predictions with empirical data when available. MetaDrug will be useful for preclinical assessment of molecules and their predicted properties. MetaDrug is also complimentary with MetaCore enabling researchers to build and analyze protein-protein, protein-ligand and genetic interaction networks using GeneGo's comprehensive databases of human biology and active chemistry. Ultimately both products enable the prediction of interactions of a small molecule with both xenobiotic and endogenous metabolism, regulation and cellular signaling. MetaDrug features maps, pathways and networks for human proteins related to ADME/Tox; a database of small molecules with kinetic data for human drug metabolizing enzymes, proprietary algorithms for rule-based metabolite prediction, highlighting of reactive metabolites, > 40 QSAR models for ADME/Tox properties, descriptors relevant to ADME parsers for importing data from all major microarray platforms, SAGE, proteomics and metabolomics data; two proprietary network building algorithms; flexible visualization and data exchange tools. MetaCore features a comprehensive set of maps, pathways and networks for almost all known human proteins; parsers for importing data from all major microarray platforms, SAGE, proteomics and metabolomics data; seven proprietary network building algorithms; flexible visualization and data exchange tools.