Predicting binding between 55 cannabinoids and 4,799 biological targets by in silico methods.

Santillo, Michael F; Sprando, Robert L

Santillo, Michael F; Sprando, Robert L.

Afiliación

Santillo MF; Division of Toxicology, Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, Laurel, Maryland, USA.
Sprando RL; Division of Toxicology, Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, Laurel, Maryland, USA.

J Appl Toxicol ; 43(10): 1476-1487, 2023 10.

Article en En | MEDLINE | ID: mdl-37101313

Asunto(s)

Cannabinoides; Cannabis; Humanos; Cannabinoides/toxicidad; Cannabinoides/química; Cannabinoides/metabolismo; Relación Estructura-Actividad Cuantitativa; Agonistas de Receptores de Cannabinoides

Palabras clave

QSAR; cannabinoids; cannabis; computational toxicology; in silico; receptors; safety pharmacology; secondary pharmacology; structure-activity relationship; target screening

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cannabinoides / Cannabis Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Appl Toxicol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google