SkinSensDB

SkinSensDB provides a curated database integrating in vivo and in vitro assay data to support prediction and assessment of chemical skin sensitizers within the Adverse Outcome Pathway (AOP) framework.

Key Features:

• Curated dataset: Compiles and curates data from published AOP-related assays for skin sensitization.
• In vivo and in vitro integration: Integrates traditional rodent in vivo data and alternative in vitro assay data aligned with the AOP framework.
• AOP alignment: Represents and integrates multiple key events within the adverse outcome pathway for skin sensitization.
• AOP-based predictive model support: Provides datasets intended for building and refining computational AOP-based predictive models.
• Structural similarity comparisons: Enables evaluation of new compounds by comparison with structurally similar compounds in the database.
• Toxicological endpoint focus: Centers on chemical skin sensitization as a toxicological endpoint for hazard determination and safety evaluation.

Scientific Applications:

• Skin sensitization prediction: Use curated in vivo and in vitro data to predict the skin sensitization potential of chemicals.
• Model development and validation: Support building, training, and validating AOP-based computational models for skin sensitization.
• Toxicological hazard assessment: Inform chemical hazard determination and safety evaluation for regulatory and research purposes.
• Interpretation of alternative assays: Integrate and interpret in vitro assays aligned with the AOP to complement or replace traditional animal data.

Methodology:

Compilation and curation of published AOP-related in vivo (rodent) and in vitro assay data, integration of these datasets for AOP-based predictive modeling, and structural similarity comparisons for compound evaluation.