Predicting binding between 55 cannabinoids and 4,799 biological targets by in silico methods.
J Appl Toxicol
; 43(10): 1476-1487, 2023 10.
Article
in En
| MEDLINE
| ID: mdl-37101313
Key words
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:
Country of publication: