Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Title : 环境学院教工党支部宣传委员
Title of Paper: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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Date of Publication:2024-10-23
Journal:SSRN
ISSN No.:1556-5068
Key Words: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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