Title | In Silico Methods for Predicting Drug Toxicity [electronic resource] / edited by Emilio Benfenati |
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Imprint | New York, NY : Springer New York : Imprint: Humana Press, 2016 |
Connect to | http://dx.doi.org/10.1007/978-1-4939-3609-0 |
Descript | XI, 534 p. 193 illus., 156 illus. in color. online resource |
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 for Hepatotoxicity -- 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