A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase-Reference-Cited by-同舟云学术

A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase

Published:2024-03 Issue: Volume:915 Page:169974
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Wu Xuri,Gong Jixiang,Ren Suyu,Tan Feng,Wang Yan,Zhao Hongxia

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference45 articles.

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3. Predicting acetyl cholinesterase enzyme inhibition potential of ionic liquids using machine learning approaches: an aid to green chemicals designing;Basant;J. Mol. Liq.,2015

4. Acetylcholinesterase is required for neuronal and muscular development in the zebrafish embryo;Behra;Nat. Neurosci.,2002

5. Random forests;Breiman;Mach. Learn.,2001

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