Guoxiu Shan is in the third year with a master's degree in environmental engineering at Nanjing University of Science and Technology (NJUST). His major areas of research included endocrine disrupting effect testing and modeling, aquatic ecological risk assessment of emerging chemicals. He graduated from Suzhou University of Science and Technology in 2017.

OpenTox 2023 Virtual Conference

Development Predictive Models and Tool for Screening Potential Endocrine-Disruptors

Endocrine-disruptors are a large group of anthropogenic chemicals or unintentional production chemicals that may elicit endocrine-related harmful effects on wildlife and humans. To reduce the adverse effects of endocrine-disruptors on the endocrine system of wildlife and humans, it is vital significant to identify and screen potential endocrine-disruptors from the various chemical inventories. Predictive models and tools are widely considered as an effective and powerful screening tool that can be used to efficiently and cost-effectively identify and screen potential endocrine-disruptors from various chemical inventories. In this presentation, the endocrine endpoints-related predictive models and tool developed in our group will be introduced. Especially, the endpoints will concentrate on that in thyroid system, which may include thyroid receptor (hTR), transthyretin (TTR), thyroperoxidase (TPO), sodium iodide symporter (hNIS), thyrotropin releasing hormone receptor (TRHR), thyroid stimulating hormone receptor (TSHR), and so on. In addition, a virtual screening tool referred as “ED profiler (II)” that integrated with the predictive models of aforementioned endocrine endpoints also will be reported.

ACKNOWLEDGMENTS

This research was funded by National Natural Science Foundation of China (No. 22176097) and the Fundamental Research Funds for the Central Universities (No. 30923011032).