药物发现
骨质疏松症
计算生物学
医学
生物信息学
计算机科学
药理学
生物
内科学
作者
Qi Li,Xue‐Chun Han,Si-Rui Zhou,Yu Lu,Yuji Wang,Jin-Kui Yang
标识
DOI:10.1080/17460441.2025.2527686
摘要
This study led to the development of a deep learning model capable of predicting CTSK inhibitors and identified Quercetin, GLA, and BITC as promising candidates for the treatment of osteoporosis.
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