首页|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)
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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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.”
DalianPeople’s Republic of ChinaAsiaAcetylcholinesteraseCyborgsEmerging TechnologiesEnzymes and CoenzymesIonic LiquidsMachine LearningSolvents
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