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In silico prediction of toxicity and its applications for chemicals at work

OBJECTIVE AND METHODS: This study reviewed the concept of in silico prediction of chemical toxicity for prevention of occupational cancer and future prospects in workers’ health. In this review, a new approach to determine the credibility of in silico predictions with raw data is explored, and the m...

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Autor principal: Rim, Kyung-Taek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7223298/
https://www.ncbi.nlm.nih.gov/pubmed/32421081
http://dx.doi.org/10.1007/s13530-020-00056-4
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author Rim, Kyung-Taek
author_facet Rim, Kyung-Taek
author_sort Rim, Kyung-Taek
collection PubMed
description OBJECTIVE AND METHODS: This study reviewed the concept of in silico prediction of chemical toxicity for prevention of occupational cancer and future prospects in workers’ health. In this review, a new approach to determine the credibility of in silico predictions with raw data is explored, and the method of determining the confidence level of evaluation based on the credibility of data is discussed. I searched various papers and books related to the in silico prediction of chemical toxicity and carcinogenicity. The intention was to utilize the most recent reports after 2015 regarding in silico prediction. RESULTS AND CONCLUSION: The application of in silico methods is increasing with the prediction of toxic risks to human and the environment. The various toxic effects of industrial chemicals have triggered the recognition of the importance of using a combination of in silico models in the risk assessments. In silico occupational exposure models, industrial accidents, and occupational cancers are effectively managed and chemicals evaluated. It is important to identify and manage hazardous substances proactively through the rigorous evaluation of chemicals.
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spelling pubmed-72232982020-05-15 In silico prediction of toxicity and its applications for chemicals at work Rim, Kyung-Taek Toxicol. Environ. Health Sci. Mini Review OBJECTIVE AND METHODS: This study reviewed the concept of in silico prediction of chemical toxicity for prevention of occupational cancer and future prospects in workers’ health. In this review, a new approach to determine the credibility of in silico predictions with raw data is explored, and the method of determining the confidence level of evaluation based on the credibility of data is discussed. I searched various papers and books related to the in silico prediction of chemical toxicity and carcinogenicity. The intention was to utilize the most recent reports after 2015 regarding in silico prediction. RESULTS AND CONCLUSION: The application of in silico methods is increasing with the prediction of toxic risks to human and the environment. The various toxic effects of industrial chemicals have triggered the recognition of the importance of using a combination of in silico models in the risk assessments. In silico occupational exposure models, industrial accidents, and occupational cancers are effectively managed and chemicals evaluated. It is important to identify and manage hazardous substances proactively through the rigorous evaluation of chemicals. Springer Singapore 2020-05-14 2020 /pmc/articles/PMC7223298/ /pubmed/32421081 http://dx.doi.org/10.1007/s13530-020-00056-4 Text en © Korean Society of Environmental Risk Assessment and Health Science 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Mini Review
Rim, Kyung-Taek
In silico prediction of toxicity and its applications for chemicals at work
title In silico prediction of toxicity and its applications for chemicals at work
title_full In silico prediction of toxicity and its applications for chemicals at work
title_fullStr In silico prediction of toxicity and its applications for chemicals at work
title_full_unstemmed In silico prediction of toxicity and its applications for chemicals at work
title_short In silico prediction of toxicity and its applications for chemicals at work
title_sort in silico prediction of toxicity and its applications for chemicals at work
topic Mini Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7223298/
https://www.ncbi.nlm.nih.gov/pubmed/32421081
http://dx.doi.org/10.1007/s13530-020-00056-4
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