Dalian University of Technology Reports Findings in Machine Learning (A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase)

Robotics & Machine Learning Daily News2024，Issue(Jan.19) ：76-76.

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Dalian University of Technology Reports Findings in Machine Learning (A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting out of Dalian, People’s Republic of China, by NewsRx editors, research stated, “The broadapplication of ionic liquids (ILs) has been hindered by uncertainties surrounding their ecotoxicity. In thiswork, a Quantitative Structure-Activity Relationship (QSAR) model was devised to predict the inhibitionof ILs towards the activity of AChE, employing both Random Forest (RF) and eXtreme Gradient Boosting(XGBoost) machine learning approaches.”

Key words

Dalian/People’s Republic of China/Asia/Acetylcholinesterase/Cyborgs/Emerging Technologies/Enzymes and Coenzymes/Ionic Liquids/Machine Learning/Solvents

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出版年

2024

Robotics & Machine Learning Daily News

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