|
个人信息Personal Information
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
联系方式：E-mail:wangyandut@dlut.edu.cn
电子邮箱：wangyandut@dlut.edu.cn
A Machine Learning-Based Qsar Model Reveals Important Molecular Features for Understanding The Potential Inhibition Mechanism of Ionic Liquids to Acetylcholinesterase
点击次数：
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
上一条：Elucidating per- and polyfluoroalkyl substances (PFASs) soil-water partitioning behavior through explainable machine learning models.
下一条：Characteristics, prediction, and risk assessment of phthalates, organophosphate esters, and polycyclic aromatic hydrocarbons in vegetables from plastic greenhouses of Northeast China.