A machine learning-based approach to ERα bioactivity and drug ADMET prediction

A machine learning-based approach to ERα bioactivity and drug ADMET prediction

By predicting ERα bioactivity and mining the potential relationship between Absorption, Distribution, Metabolism, Excretion, Toxicity (ADMET) attributes in drug research and development, the development efficiency of specific drugs for breast cancer will be effectively improved and the misjudgment r...

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Bibliographic Details
Main Authors: Tianbo An, Yueren Chen, Yefeng Chen, Leyu Ma, Jingrui Wang, Jian Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Genetics
Subjects:
machine learning
ERα bioactivity
ADMET
breast cancer
drug development
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.1087273/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.1087273/full

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