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.

Affiliation

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 in En | MEDLINE | ID: mdl-37101313

Subject(s)

Cannabinoids; Cannabis; Humans; Cannabinoids/toxicity; Cannabinoids/chemistry; Cannabinoids/metabolism; Quantitative Structure-Activity Relationship; Cannabinoid Receptor Agonists

Key words

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

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cannabinoids / Cannabis Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Appl Toxicol Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom

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