Wu_2024_Sci.Total.Environ__169974

Reference

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

Related information

Citations formats

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