1. Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers
- Author
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Giulia Russo, Elena Crispino, Emanuela Corsini, Martina Iulini, Alicia Paini, Andrew Worth, and Francesco Pappalardo
- Subjects
In silico trials ,Immune system ,Structural Biology ,immune system ,immunotoxicity ,in silico trials ,risk assessment ,skin sensitizer ,Skin sensitizer ,Settore BIO/14 - Farmacologia ,Genetics ,Biophysics ,Immunotoxicity ,Biochemistry ,Risk assessment ,Computer Science Applications ,Biotechnology - Abstract
In many domains regulating chemicals and chemical products, there is a legal requirement to determine skin sensitivity to allergens. While many in vitro assays to detect contact hypersensitivity have been developed as alternatives to animal testing over the past ten years and significant progress has been made in this area, there is still a need for continued investment in the creation of techniques and strategies that will allow accurate identification of potential contact allergens and their potency in vitro. In silico models are promising tools in this regard. However, none of the state-of-the-art systems seems to function well enough to serve as a stand-alone hazard identification tool, especially in evaluating the possible allergenicity effects in humans. The Universal Immune System Simulator, a mechanistic computational platform that simulates the human immune system response to a specific insult, provides a means of predicting the immunotoxicity induced by skin sensitisers, enriching the collection of computational models for the assessment of skin sensitization. Here, we present a specific disease layer implementation of the Universal Immune System Simulator for the prediction of allergic contact dermatitis induced by specific skin sensitizers.
- Published
- 2022
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