A5094249193- Cell Image Analysis Techniques
- Animal testing and alternatives
- Computational Drug Discovery Methods
- Pediatric Hepatobiliary Diseases and Treatments
- Liver Diseases and Immunity
- Liver Disease Diagnosis and Treatment
University of Vienna
2024-2025
(Quantitative) structure-activity relationships ((Q)SARs) are widely used in chemical safety assessment to predict toxicological effects. Many thousands of (Q)SAR models have been developed and published, however, few easily available use. This investigation has applied previously Findability, Accessibility, Interoperability, Reuse (FAIR) Principles for silico six different, machine learning (ML) (Q)SARs the same toxicity dataset (inhibition growth Tetrahymena pyriformis). The majority...
Effective drug safety assessment, guided by the 3R principle (Replacement, Reduction, Refinement) to minimize animal testing, is critical in early development. Drug-induced liver injury (DILI), particularly drug-induced cholestasis (DIC), remains a major challenge. This study introduces computational method for predicting DIC integrating PubChem substructure fingerprints with biological data from liver-expressed targets and pathways, alongside nine hepatic transporter inhibition models. To...