Cannabidiol against Epilepsy: Insights and an Experimental In Silico Approach

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Authors: Aline Matilde Ferreira dos Santos, Pablo R da Silva, Alan Ferreira Alves, Teresa Carolliny Moreira Lustoza Rodrigues, Leandro Rodrigo Ribeiro, Hugo Fernandes Oliveira Pires, Arthur Lins Dias, Joás de Souza Gomes, Jéssica Cabral de Andrade, Lívia Roberta Pimenta Souza, Luiza C. D. Neri, Helaine Carneiro Capucho
+5 more Mirian Graciela da Silva Stiebbe Salvadori, Cícero Francisco Bezerra Felipe, Marcus Tullius Scotti, Luciana Scotti, Anuraj Nayarisseri
Cited by: 0

Abstract

Cannabidiol (CBD), one of the compounds found in cannabis sativa, has drawn a lot of interest in the study and treatment of epilepsy. The antiepileptic qualities of CBD are being investigated for their ability to reduce seizure frequency and intensity in people with rare epilepsies, including West syndrome, Ohtahara's syndrome, Dravet syndrome, Lennox-Gastaut syndrome, and Tuberous Sclerosis. This review attempts to analyze the antiepileptic effects of cannabidiol against voltage-gated calcium channel T-type (CaV), GammaAminobutyric Acid A (GABAA), voltage-gated potassium channel of the Q family (KCNQ2), voltage-gated sodium channel (NaV), and alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) using in silico techniques. Studies were conducted to investigate Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) parameters, and subsequently, molecular docking was performed. CBD demonstrated good oral absorption and the ability to cross the blood-brain barrier, as indicated by its pharmacokinetic parameters. The CBD may lead to potential drug interactions and increased bioavailability of the molecule due to metabolic interactions with the cytochrome P450 enzymatic system. CBD did not present toxicity parameters evaluated in this work. The molecular docking of CBD showed good interactions with NMDA and Nav. It also demonstrated good binding energy.

Fields of Study & Subjects

Cannabis and Cannabinoid Research Epilepsy research and treatment Computational Drug Discovery Methods

Publication details

Journal / source
Current Pharmaceutical Design
Volume
32
Publication date
22 January 2026
Language
EN