From Target Prediction to Mechanistic Insights: Revealing Air Pollution-Driven Mechanisms in Endometrial Cancer via Interpretable Machine Learning and Molecular Docking
【作者】Hongyao Liu，Yueqing Zou
【作者单位】1Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China;2Department of Business Administration, Zhejiang Institute of Administration, Hangzhou 311121, China
【年份】2025
【卷号】Vol.16 No.7
【页码】841
【关键词】air pollutant endometrial cancer SHAP molecular docking machine learning
【摘要】 Air pollution is a known contributor to cancer risk, although its specific impact on endometrial cancer remains unclear. This study integrates network toxicology, transcriptomics, molecular docking, and machine learning to investigate pollutant–gene...
