In Silico Methods for Predicting Drug Toxicity

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Benfenati, Emilio. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Humana, 2016.
Edition:1st ed. 2016.
Series:Methods in Molecular Biology, 1425
Subjects:
Online Access:https://doi.org/10.1007/978-1-4939-3609-0
Table of Contents:
  • 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.