Development of Activity Rules and Chemical Fragment Design for In Silico Discovery of AChE and BACE1 Dual Inhibitors against Alzheimer’s Disease

Multi-target drug development has become an attractive strategy in the discovery of drugs to treat of Alzheimer’s disease (AzD). In this study, for the first time, a rule-based machine learning (ML) approach with classification trees (CT) was applied for the rational design of novel dual-target acet...

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Detalles Bibliográficos
Autores principales: Bao, Le-Quang, Baecker, Daniel, Mai Dung, Do Thi, Phuong Nhung, Nguyen, Thi Thuan, Nguyen, Nguyen, Phuong Linh, Phuong Dung, Phan Thi, Huong, Tran Thi Lan, Rasulev, Bakhtiyor, Casanola-Martin, Gerardo M., Nam, Nguyen-Hai, Pham-The, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142303/
https://www.ncbi.nlm.nih.gov/pubmed/37110831
http://dx.doi.org/10.3390/molecules28083588

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142303/
https://www.ncbi.nlm.nih.gov/pubmed/37110831
http://dx.doi.org/10.3390/molecules28083588

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