E-grāmata: In Silico Methods for Predicting Drug Toxicity

QSAR Methods.- PBPK Modeling to Simulate the Fate of Compounds in Living
Organisms.- Pharmacokinetic Tools and Applications.- In Silico Tools and
Software to Predict ADMET of New Drug Candidates.- Development of In Silico
Methods for Toxicity Prediction in Collaboration between Academia and the
Pharmaceutical Industry.- Emerging Bioinformatics Methods and Resources in
Drug Toxicology.- In Silico Prediction of Chemically-Induced Mutagenicity: A
Weight of Evidence Approach Integrating Information from QSAR Models and
Read-Across Predictions.- In Silico Methods for Chromosome Damage.- In Silico
Methods for Carcinogenicity Assessment.- In Silico Models for Developmental
Toxicity.- 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 Predicting Acute
Systemic Toxicity.- In Silico Models for Skin Sensitization and Irritation.-
In Silico Models for Hepatotoxicity.- Machine Learning Models for Predicting
Liver Toxicity.- Implementation of In Silico Toxicology Protocols in
Leadscope.- Use of Lhasa Limited Products for the In Silico Prediction of
Drug Toxicity.- Using VEGAHUB within a Weight-of-Evidence Strategy.-
MultiCASE Platform for In Silico Toxicology.- Adverse Outcome Pathways as
Versatile Tools in Liver Toxicity Testing.- The Use of In Silico Methods for
the Regulatory Toxicological Assessment of Pharmaceutical Impurities.-
Computational Modeling of Mixture Toxicity.- In Silico Methods for Ecological
Risk Assessment: Principles, Tiered Approaches, Applications, and Future
Perspectives.- Increasing the Value of Data within a Large Pharmaceutical
Company through In Silico Models.