Title : A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase - Wu_2024_Sci.Total.Environ__169974 |
Author(s) : Wu X , Gong J , Ren S , Tan F , Wang Y , Zhao H |
Ref : Sci Total Environ , :169974 , 2024 |
Abstract : Wu_2024_Sci.Total.Environ__169974 |
ESTHER : Wu_2024_Sci.Total.Environ__169974 |
PubMedSearch : Wu_2024_Sci.Total.Environ__169974 |
PubMedID: 38199350 |
Wu X, Gong J, Ren S, Tan F, Wang Y, Zhao H (2024)
A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase
Sci Total Environ
:169974
Wu X, Gong J, Ren S, Tan F, Wang Y, Zhao H (2024)
Sci Total Environ
:169974