4.8 Article

Tox21-Based Comparative Analyses for the Identification of Potential Toxic Effects of Environmental Pollutants

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 56, 期 20, 页码 14668-14679

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.2c04467

关键词

Tox21; environmental pollutants; qHTS data visualization; text mining; toxicity; structure-activity relationship

资金

  1. Ministry of Science and Technology of the People?s Republic of China
  2. National Natural Science Foundation of China
  3. Strategic Priority Research Program of the Chinese Academy of Sciences
  4. [2020YFA0907500]
  5. [22106174]
  6. [82104310]
  7. [22021003]
  8. [22193052]
  9. [XDPB200202]

向作者/读者索取更多资源

Chemical pollution is a prominent environmental problem. This study analyzed and visualized Tox21 qHTS data to reveal and summarize the toxic effects of environmental pollutants. A total of 158 environmental concern chemicals (COECs) were detected and classified into 13 COEC groups based on structure and activity similarities.
Chemical pollution has become a prominent environ-mental problem. In recent years, quantitative high-throughput screening (qHTS) assays have been developed for the fast assessment of chemicals' toxic effects. Toxicology in the 21st Century (Tox21) is a well-known and continuously developing qHTS project. Recent reports utilizing Tox21 data have mainly focused on setting up mathematical models for in vivo toxicity predictions, with less attention to intuitive qHTS data visualization. In this study, we attempted to reveal and summarize the toxic effects of environmental pollutants by analyzing and visualizing Tox21 qHTS data. Via PubMed text mining, toxicity/ structure clustering, and manual classification, we detected a total of 158 chemicals of environmental concern (COECs) from the Tox21 library that we classified into 13 COEC groups based on structure and activity similarities. By visualizing these COEC groups' bioactivities, we demonstrated that COECs frequently displayed androgen and progesterone antagonistic effects, xenobiotic receptor agonistic roles, and mitochondrial toxicity. We also revealed many other potential targets of the 13 COEC groups, which were not well illustrated yet, and that current Tox21 assays may not correctly classify known teratogens. In conclusion, we provide a feasible method to intuitively understand qHTS data.

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