Modelling the anti-methicillin-resistant staphylococcus aureus (MRSA) activity of cannabinoids: a QSAR and Docking study
Twenty-four cannabinoids active against MRSA SA1199B and XU212 were optimized at WB97XD/6-31G(d,p), and several molecular descriptors were obtained. Using a multiple linear regression method, several mathematical models with statistical significance were obtained. The robustness of the models was va...
- Autores:
-
Eliceo Cortes, Eliceo
Mora, José
Márquez, Edgar
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7177
- Acceso en línea:
- https://hdl.handle.net/11323/7177
https://repositorio.cuc.edu.co/
- Palabra clave:
- Cannabinoids
Anti-MRSA
QSAR
Molecular docking
DFT
- Rights
- openAccess
- License
- CC0 1.0 Universal