Title of Paper:A Machine Learning-Based Qsar Model Reveals Important Molecular Features for Understanding The Potential Inhibition Mechanism of Ionic Liquids to Acetylcholinesterase

Hits:

Date of Publication:2024-10-18

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