Rim Kyung-Taek
Chemicals Research Bureau, Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency, Daejeon, Korea.
Toxicol Environ Health Sci. 2020;12(3):191-202. doi: 10.1007/s13530-020-00056-4. Epub 2020 May 14.
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.
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.
本研究回顾了用于预防职业性癌症的化学毒性计算机模拟预测概念以及工人健康领域的未来前景。在本综述中，探索了一种利用原始数据确定计算机模拟预测可信度的新方法，并讨论了基于数据可信度确定评估置信水平的方法。我检索了与化学毒性和致癌性计算机模拟预测相关的各类论文和书籍。目的是利用2015年之后有关计算机模拟预测的最新报告。
随着对人类和环境毒性风险的预测，计算机模拟方法的应用正在增加。工业化学品的各种毒性效应引发了人们对在风险评估中使用计算机模拟模型组合重要性的认识。计算机模拟职业暴露模型、工业事故和职业性癌症得到了有效管理，化学品也得到了评估。通过对化学品进行严格评估来主动识别和管理有害物质非常重要。
