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In Silico Methods for Predicting Drug Toxicity

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Cover of 'In Silico Methods for Predicting Drug Toxicity'

Table of Contents

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    Book Overview
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    Chapter 1 QSAR Methods.
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    Chapter 2 In Silico 3D Modeling of Binding Activities.
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    Chapter 3 Modeling Pharmacokinetics.
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    Chapter 4 Modeling ADMET.
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    Chapter 5 In Silico Prediction of Chemically Induced Mutagenicity: How to Use QSAR Models and Interpret Their Results.
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    Chapter 6 In Silico Methods for Carcinogenicity Assessment.
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    Chapter 7 VirtualToxLab: Exploring the Toxic Potential of Rejuvenating Substances Found in Traditional Medicines.
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    Chapter 8 In Silico Model for Developmental Toxicity: How to Use QSAR Models and Interpret Their Results.
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    Chapter 9 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.
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    Chapter 10 In Silico Models for Acute Systemic Toxicity.
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    Chapter 11 In Silico Models for Hepatotoxicity.
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    Chapter 12 In Silico Models for Ecotoxicity of Pharmaceuticals.
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    Chapter 13 Use of Read-Across Tools.
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    Chapter 14 Adverse Outcome Pathways as Tools to Assess Drug-Induced Toxicity.
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    Chapter 15 A Systems Biology Approach for Identifying Hepatotoxicant Groups Based on Similarity in Mechanisms of Action and Chemical Structure.
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    Chapter 16 In Silico Study of In Vitro GPCR Assays by QSAR Modeling.
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    Chapter 17 Taking Advantage of Databases.
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    Chapter 18 QSAR Models at the US FDA/NCTR.
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    Chapter 19 A Round Trip from Medicinal Chemistry to Predictive Toxicology.
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    Chapter 20 The Use of In Silico Models Within a Large Pharmaceutical Company.
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    Chapter 21 The Consultancy Activity on In Silico Models for Genotoxic Prediction of Pharmaceutical Impurities.
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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