In Silico Exploration of Endocannabinoid Receptor–CB1 and CB2–Interactions Comparing Cannabidiol and Cannabidiol Diacetate: A Comprehensive Computational Study

dc.contributor.authorSoobben, Marushka
dc.contributor.supervisorAchilonu, Ikechukwu Anthony
dc.contributor.supervisorSayed, Yasien
dc.date.accessioned2025-06-12T15:34:16Z
dc.date.issued2024-09
dc.descriptionThesis submitted in fulfilment of the requirements for the degree Philosophiae Doctor, to the Faculty of Science, School of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, 2024.
dc.description.abstractIn the rapidly evolving field of cannabinoid research, acetylated phytocannabinoids such as cannabidiol diacetate (CBDDA) have shown prominence due to its enhanced effects compared to its natural counterpart, cannabidiol (CBD). Despite the growing popularity in the consumption of acetylated phytocannabinoids, in-depth research on its pharmacological impact, especially on CB1 and CB2 receptors, remains scarce. With rising reports of adverse reactions to acetylated phytocannabinoids, a molecular understanding of their interaction with endocannabinoid receptors (CBRs) is imperative. This study aimed to fill this knowledge gap by analysing receptor interactions of CBDDA in comparison with receptor interactions of CBD. The study showed that CBDDA forms stronger interactions with CBRs than CBD. Recognised for its heightened potency, the potential of CBDDA as a biopharmaceutical product was examined. CBR interactions with known endocannabinoids, agonists and inverse agonists validated the computational models used to determine the difference in conformational dynamics upon ligand binding. In this work, bioinformatics, molecular docking, and molecular dynamics (MD) simulations were used to determine the structural differences of CBRs when bound to CBD/CBDDA. Simulations in a 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) and water environment successfully mimicked physiological conditions. Subsequent high-throughput virtual screening (HTVS) was conducted using CBDDA as a reference where ligands 142730975 and 21568811 were identified as the top scoring hits for CB1 and CB2 receptors, respectively. The identification of these ligands via HTVS highlights the therapeutic potential of targeting CBRs and the biopharmaceutical potential of CBDDA. This study elucidates the specific interactions of CBD and CBDDA with CB1 and CB2 receptors, laying a foundation for assessing the safety and efficacy of acetylated phytocannabinoids. Overall, the differential interaction of CBDDA compared to CBD with CBRs suggests that acetylation changes the conformational dynamics of CBRs thereby potentially affecting signalling. The identification of ligands 142730975 and 21568811 as strong interactors with the receptors may provide valuable leads for the development of new cannabinoid-based therapies.
dc.description.sponsorshipWits University Postgraduate Merit Award Scholarship
dc.description.submitterMMM2025
dc.facultyFaculty of Science
dc.identifier0000-0003-1491-6258
dc.identifier.citationSoobben, Marushka. (2024). In Silico Exploration of Endocannabinoid Receptor–CB1 and CB2–Interactions Comparing Cannabidiol and Cannabidiol Diacetate: A Comprehensive Computational Study. [PhD thesis, University of the Witwatersrand, Johannesburg]. WIReDSpace. https://hdl.handle.net/10539/45129
dc.identifier.urihttps://hdl.handle.net/10539/45129
dc.language.isoen
dc.publisherUniversity of the Witwatersrand, Johannesburg
dc.rights©2024 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg.
dc.rights.holderUniversity of the Witwatersrand, Johannesburg
dc.schoolSchool of Molecular and Cell Biology
dc.subjectEndocannabinoid Receptors
dc.subjectCannabidiol
dc.subjectCannabidiol Diacetate
dc.subjectMolecular Dynamics Simulations
dc.subjectComputational Protein Biology
dc.subjectUCTD
dc.subject.primarysdgSDG-3: Good health and well-being
dc.subject.secondarysdgSDG-15: Life on land
dc.titleIn Silico Exploration of Endocannabinoid Receptor–CB1 and CB2–Interactions Comparing Cannabidiol and Cannabidiol Diacetate: A Comprehensive Computational Study
dc.typeThesis

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