WEBINAR : Applying ADMET Predictor(tm) & MedChem Studio(tm) at NIEHS to predict human xenobiotic metabolism and the potential for human toxicity in the US Tox21 10K Library ABSTRACT: One of the current challenges of the U.S. Tox21 high throughput screening effort is the lack of approaches incorporating xenobiotic metabolism. Unfortunately, with the large numbers of chemicals being examined (~8,300 uniques in Tox21 Phase II 10k library), it is cost prohibitive to assess all of these chemicals in metabolically competent assay systems (e.g., primary hepatocytes, HepaRG). To address this issue and the general need for in silico approaches that predict human xenobiotic metabolism and the potential for human toxicity, in silico QSAR models with ADMET Predictor 6.5 were evaluated. MedChem Studio 3.5 provided the platform to quickly assess large sets of chemical structures (e.g., Tox21 10k library) and converted sites of metabolism predictions into structures of metabolites for further analysis. Three metabolism prediction types were evaluated: 1) substrate predictions for 18 human drug metabolizing enzymes, 2) extent of metabolism (metabolic clearance) predictions for 5 human drug metabolizing enzymes, 3) metabolite structure predictions from sites of metabolism predictions for 9 human P450 enzymes. The effectiveness of these prediction models was evaluated by preparing databases of Tox21 10k library chemicals with known human xenobiotic metabolism data. In this presentation we will describe our efforts to evaluate the utility of these prediction models and highlight their potential applicability within environmental chemical research. Overall, the software appeared to provide a useful platform for evaluating human drug metabolism within the enzymatic transformation 'space' that is currently available (primarily human cytochromes P450). PRESENTER: Stephen Ferguson, Ph.D. - Chemist, National Institute of Environmental Health Sciences DATE: September 17th, 2014 (Wednesday) TIME: 1:00 PM EDT / 10:00 AM PDT REGISTER: https://www2.gotomeeting.com/register/971895322