This work aims to complement the investigations of the molecular mechanisms of cannabinoids and their receptors, elucidating molecular targets that explain the effect of chemical compounds present in Cannabis sativa on central neuromodulation through in silico methods. Cannabis sativa metabolites were collected bibliographically, and the coding of molecules to perform the predictions were obtained from the PubChem website. Bioactivity screening was then performed with SwissADME, ProToxII, PASS,

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... and Molinspiration programs and target search with SuperPred Webserver servers. After target identification, the selected structure was obtained from the Protein Data Bank (PDB) site for molecular docking with the GOLD program. Cannabis sativa metabolites had their physicochemical and biological properties analyzed. The targets for molecular docking were identified and verified for each compound, with their respective structures crystallized in the Protein Data Bank (PDB). The tetrahydrocannabivarin (THCV) molecule was selected because it predicted interaction with the N-arachidonylglycine receptor (PDB ID: 4UUQ). Docking reveals a potential interaction of THCV with the N-arachidonylglycine receptor. Furthermore, the binding structure of this study showed pharmacophoric alignment with the five most potent molecules capable of antagonizing the monoglycerate lipase receptor. TCHV docking showed anchoring of this molecule in the active site of the N-arachidonylglycine receptor due to the activities of this species. Thus, this marker could act as an antagonist of this receptor, behaving as an active metabolite with neuromodulatory activity through a possible alteration of microglial activity in the central nervous system, which may act as a therapeutic agent in neurodegenerative pathologies.