In Silico Methods for Predicting Drug Toxicity

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Benfenati, Emilio. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Humana, 2016.
Edición:1st ed. 2016.
Colección:Methods in Molecular Biology, 1425
Materias:
Acceso en línea:https://doi.org/10.1007/978-1-4939-3609-0
Tabla de Contenidos:
  • 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.