In Silico Methods for Predicting Drug Toxicity [electronic resource]

  • Benfenati, Emilio. editor.
  • 2016
In Silico Methods for Predicting Drug Toxicity [electronic resource]
  • Data Type
  • Title/Author
    In Silico Methods for Predicting Drug Toxicity[electronic resource] / edited by Emilio Benfenati.
  • Author
    Benfenati, Emilio., editor.
  • Authors
    SpringerLink (Online service)
  • Phy Desc.
    XI, 534 p. 193 illus., 156 illus. in color. : online resource.
  • Total State.
    Methods in Molecular Biology,1064-3745 ; 1425
  • Contents Note
    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.
  • Topical Term
  • Host Item
    Springer eBooks
  • Additional Item
    Printed edition: 9781493936076
  • ISBN
  • Language