大连理工大学主页平台管理系统王琰 A Machine Learning-Based Qsar Model Reveals Important Molecular Features for Understanding The Potential Inhibition Mechanism of Ionic Liquids to Acetylcholinesterase 王琰

王琰

副教授博士生导师硕士生导师
任职 : 环境学院教工党支部宣传委员
性别：男
毕业院校：中国科学院广州地球化学研究所
学位：博士
所在单位：环境学院
学科：环境科学. 环境工程
办公地点：西部校区环境楼B501
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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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发布时间：2024-12-30

发表时间：2024-10-23

发表刊物：SSRN

ISSN号：1556-5068

关键字：AChE activities; activity relationship modeling; Adaptive boosting; Characteristic importance; Computational chemistry; Descriptors; Enzyme activity; Forestry; learning; Machine; Machine learning; Molecular feature; Molecular graphics; Positive ions; Potential inhibition; QSAR model; QSAR modeling; Quantitative structure; Quantitative structure activity relationship

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