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Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers
Giulia Russo1, Elena Crispino1, Emanuela Corsini2
1Department of Health and Drug Sciences, Università degli Studi di Catania, Italy.
Computational and Structural Biotechnology Journal
|November 24, 2022
Summary
Predicting skin sensitization is legally required. A new computational model, the Universal Immune System Simulator, shows promise for identifying allergic contact dermatitis in vitro.
Area of Science:
- Toxicology
- Computational Biology
- Immunology
Background:
- Regulatory bodies require assessment of skin sensitization to allergens.
- In vitro assays are advancing as alternatives to animal testing for contact hypersensitivity.
- Current in silico models lack the robustness for stand-alone hazard identification of skin sensitizers.
Purpose of the Study:
- To present a novel computational approach for predicting allergic contact dermatitis.
- To enhance existing in silico tools for skin sensitization assessment.
Main Methods:
- Implementation of a specific disease layer for allergic contact dermatitis within the Universal Immune System Simulator.
- Utilizing a mechanistic computational platform to simulate human immune system responses to skin sensitizers.
Main Results:
- The Universal Immune System Simulator provides a means to predict immunotoxicity from skin sensitizers.
- This platform enriches the available computational models for skin sensitization evaluation.
Conclusions:
- The developed Universal Immune System Simulator layer offers a promising in vitro strategy for identifying potential contact allergens.
- Further investment in such computational models is crucial for accurate in vitro assessment of skin sensitization and allergenicity.
