In Silico Methods for Predicting Drug Toxicity

QSAR Methods.- In Silico 3D-Modelling of Binding Activities.- Modeling Pharmacokinetics.- Modeling ADMET.- In Silico Prediction of Chemically-Induced Mutagenicity: How to Use QSAR Models and Interpret Their Results.- In Silico Methods for Carcinogenicity Assessment.- VirtualToxLab: Exploring the Toxic Potential of Rejuvenating Substances Found in Traditional Medicines.- In Silico Model for Developmental Toxicity: How to Use QSAR Models and Interpret Their Results.- In Silico Models for Repeated Dose Toxicity (RDT): Prediction of the No Observed Adverse Effect Level (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) for Drugs.- In Silico Models for Acute Systemic Toxicity.- In Silico Models forHepatotoxicity.- In Silico Models for Ecotoxicity of Pharmaceuticals.- Use of Read-Across Tools.- Adverse Outcome Pathways as Tools to Assess Drug-Induced Toxicity.- A Systems Biology Approach for Identifying Hepatotoxicant Groups Based on Similarity in Mechanisms of Action and Chemical Structure.- In Silico Study of In Vitro GPCR Assays by QSAR Modeling.- Taking Advantage of Databases.- QSAR Models at the United States FDA/NCTR.- A Round Trip from Medicinal Chemistry to Predictive Toxicology.- The Use of In Silico Models Within a Large Pharmaceutical Company.- The Consultancy Activity on In Silico Models for Genotoxic Prediction of Pharmaceutical Impurities.