RespiraTox – Development of a QSAR model to predict human respiratory irritants

Keyphrases

• Human Respiratory Tract 100%
• Gradient Boosting Decision Tree 100%
• QSAR Model 100%
• Respiratory Irritants 100%
• Area under the Curve 66%
• Respiratory Irritation 66%
• Mode of Action 33%
• Logistic Regression 33%
• Logistic Regression Model 33%
• Human Health 33%
• Optimal Performance 33%
• Chemical Risk Assessment 33%
• Sensory Neurons 33%
• Applicability Domain 33%
• Expert Review 33%
• Web Tool 33%
• Repeated Exposure 33%
• Inhalation Study 33%
• Animal Testing 33%
• Projected Database 33%
• Acute Exposure 33%
• Health Endpoints 33%
• Machine Learning Approach 33%
• Combining Evidence 33%
• Organic Substances 33%
• Non-irritating 33%
• Toxicological Data 33%
• Trigeminal Nerve 33%
• Random Forest 33%
• Regression Forest 33%
• Sensory Irritation 33%
• QSAR Approach 33%
• Tissue Irritation 33%

Pharmacology, Toxicology and Pharmaceutical Science

• Quantitative Structure-Activity Relationship 100%
• Animal Testing 50%
• Applicability Domain 50%