Identifying Possible AChE Inhibitors from Drug-like Molecules via Machine Learning and Experimental Studies

[Image: see text] Acetylcholinesterase (AChE) is one of the most important drug targets for Alzheimer’s disease (AD) treatment. In this work, a machine learning model was trained to rapidly and accurately screen large chemical databases for the potential inhibitors of AChE. The obtained results were...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Trung Hai, Tran, Phuong-Thao, Pham, Ngoc Quynh Anh, Hoang, Van-Hai, Hiep, Dinh Minh, Ngo, Son Tung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219098/
https://www.ncbi.nlm.nih.gov/pubmed/35755364
http://dx.doi.org/10.1021/acsomega.2c00908

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219098/
https://www.ncbi.nlm.nih.gov/pubmed/35755364
http://dx.doi.org/10.1021/acsomega.2c00908

Ejemplares similares