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Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers
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 ha...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674872/ https://www.ncbi.nlm.nih.gov/pubmed/36420145 http://dx.doi.org/10.1016/j.csbj.2022.10.032 |
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author | Russo, Giulia Crispino, Elena Corsini, Emanuela Iulini, Martina Paini, Alicia Worth, Andrew Pappalardo, Francesco |
author_facet | Russo, Giulia Crispino, Elena Corsini, Emanuela Iulini, Martina Paini, Alicia Worth, Andrew Pappalardo, Francesco |
author_sort | Russo, Giulia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9674872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-96748722022-11-22 Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers Russo, Giulia Crispino, Elena Corsini, Emanuela Iulini, Martina Paini, Alicia Worth, Andrew Pappalardo, Francesco Comput Struct Biotechnol J Research Article 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. Research Network of Computational and Structural Biotechnology 2022-10-29 /pmc/articles/PMC9674872/ /pubmed/36420145 http://dx.doi.org/10.1016/j.csbj.2022.10.032 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Russo, Giulia Crispino, Elena Corsini, Emanuela Iulini, Martina Paini, Alicia Worth, Andrew Pappalardo, Francesco Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers |
title | Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers |
title_full | Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers |
title_fullStr | Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers |
title_full_unstemmed | Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers |
title_short | Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers |
title_sort | computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674872/ https://www.ncbi.nlm.nih.gov/pubmed/36420145 http://dx.doi.org/10.1016/j.csbj.2022.10.032 |
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