Machine learning-driven QSAR models for prediction of Metabolic mechanisms and Thyroid hormone disrupting effects of emerging pollutants in human body: a case study of Bisphenol analogues

Zijian Wang; Qingzhu Zhang; Wenxing Wang; Qiao Wang

doi:10.1039/d5em00891c

January 1, 2026Environmental Science Processes & Impacts

Machine learning-driven QSAR models for prediction of Metabolic mechanisms and Thyroid hormone disrupting effects of emerging pollutants in human body: a case study of Bisphenol analogues

View Full Paper

Ask AI

Bookmark

Share

Key Points

The aim is to develop machine learning-driven QSAR models to predict the metabolic mechanisms and thyroid hormone disrupting effects of bisphenol analogues.
Developed QSAR models using machine learning techniques
Evaluated the disruption of thyroid hormone by emerging pollutants
Focused on bisphenol analogues as case studies
Models effectively predicted metabolic mechanisms associated with bisphenol analogues
Identified potential thyroid hormone disrupting effects of these pollutants
Highlighted the capability of in silico methods in understanding health implications

Implication

Machine learning predicts metabolic mechanisms and thyroid hormone disruptions in emerging pollutants, suggesting new insights for health risks.

Abstract

Research on theoretical prediction methods for the reaction mechanisms and thyroid hormone disrupting effects of emerging pollutants in human body faces significant challenges. The application of in silico methods utilizing...

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69be37f16e48c4981c677f19 https://doi.org/10.1039/d5em00891c

View Full Paper

Ask AI

Bookmark

Share

Machine learning-driven QSAR models for prediction of Metabolic mechanisms and Thyroid hormone disrupting effects of emerging pollutants in human body: a case study of Bisphenol analogues

Key Points

Implication

Abstract

Discussion

Cite This Study

Machine learning-driven QSAR models for prediction of Metabolic mechanisms and Thyroid hormone disrupting effects of emerging pollutants in human body: a case study of Bisphenol analogues

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading