ElixirSeeker: A Machine Learning Framework Utilizing Fusion Molecular Fingerprints for the Discovery of Lifespan‐Extending Compounds
Published in Aging Cell, 2025
This project spanned from my first year (2022) to my third year (2025) of undergraduate study. I applied machine learning techniques to model anti-aging compound databases and conducted experimental validation using Caenorhabditis elegans. I am grateful for the guidance of Professor Hao Li (also affiliated with UCSF) and Professor Bo Xian at the Center for Aging Research.
Recommended citation: Yan Pan; Hongxia Cai; Fang Ye; Wentao Xu; Zhihang Huang; Jingyuan Zhu; Yiwen Gong; Yutong Li; Anastasia Ngozi Ezemaduka; Shan Gao; Shunqi Liu; Guojun Li; Hao Li; Jing Yang; Junyu Ning; Bo Xian. ElixirSeeker: A Machine Learning Framework Utilizing Fusion Molecular Fingerprints for the Discovery of Lifespan‐Extending Compounds. Aging Cell 2025, e70116 .
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