Quantum-Mechanics Calculations Elucidate Skin-Sensitizing Pharmaceutical Compounds.

Area of Science:

• Toxicology
• Computational Chemistry
• Dermatology

Background:

• Skin sensitization is a key occupational toxicology concern requiring efficient predictive models for worker safety.
• Existing in silico models often lack reliability due to limited data on complex pharmaceutical compounds.
• Quantum-mechanical (QM) approaches offer a promising alternative by focusing on chemical interaction fundamentals.

Purpose of the Study:

• To introduce and validate the QM Computer-Aided Discovery and REdesign (CADRE) model for predicting skin sensitization in pharmaceutical compounds.
• To assess the model's accuracy and utility in classifying sensitization potency.
• To explore the relationship between chemical structure, dermal permeability, and sensitization potential.

Main Methods:

• Development of the QM CADRE model based on chemical interaction principles, not just structural attributes.
• Validation of QM CADRE using 345 active pharmaceutical ingredients (APIs) and intermediates against mouse local lymph node assay (LLNA) data.
• Analysis of historical QM CADRE data (2500 chemicals) to investigate sensitization mechanisms and potency relationships.
• Evaluation of dermal permeability's influence on sensitization using QM-derived energy-pair distributions.

Main Results:

• QM CADRE achieved 95% accuracy, sensitivity, and specificity in predicting skin sensitization.
• The model demonstrated a combined 79% accuracy in assigning sensitization potency categories.
• Historical data analysis revealed correlations between chemical classes and sensitization response probability.
• QM-derived energy-pair distributions proved superior to traditional physicochemical properties for predicting dermal permeation.

Conclusions:

• The QM CADRE model provides a highly accurate and reliable tool for assessing skin sensitization in pharmaceutical compounds.
• The model facilitates rapid screening and risk assessment for occupational toxicology and drug development.
• Understanding dermal permeability through QM simulations is crucial for accurate sensitization potential evaluation.