African derived phytocompounds may interfere with SARS-CoV-2 RNA capping machinery via inhibition of 2'-O-ribose methyltransferase: An in silico perspective

dc.contributor.authorGyebi, Gideon
dc.contributor.authorOgunyemi, Oludare
dc.contributor.authorAdefolalu, Adedotun
dc.contributor.authorRodríguez Martínez, Alejandro
dc.contributor.authorLópez Pastor, Alejandro
dc.contributor.authorBanegas Luna, Antonio Jesús
dc.contributor.authorPérez Sánchez, Horacio
dc.contributor.authorAdegunloye, Adegbenro
dc.contributor.authorOgunro, Olalekan
dc.contributor.authorAfolabi, Saheed
dc.date.accessioned2025-01-28T08:53:20Z
dc.date.available2025-01-28T08:53:20Z
dc.date.issued2022-04-12
dc.description.abstractDespite the ongoing vaccination against the life-threatening COVID-19, there is need for viable therapeutic interventions. The S-adenosyl-l-Methionine (SAM) dependent 2-O’-ribose methyltransferase (2′-O-MTase) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents a therapeutic target against COVID-19 infection. In a bid to profile bioactive principles from natural sources, a custom-made library of 226 phytochemicals from African medicinal plants with especially anti-malarial activity was screened for direct interactions with SARS-CoV-2 2′-O-MTase (S2RMT) using molecular docking and molecular dynamics (MD) simulations as well as binding free energies methods. Based on minimal binding energy lower than sinefungin (a reference methyl-transferase inhibitor) and binding mode analysis at the catalytic site of S2RMT, a list of 26 hit phytocompounds was defined. The interaction of these phytocompounds was compared with the 2′-O-MTase of SARS-CoV and MERS-CoV. Among these compounds, the lead phytocompounds (LPs) viz: mulberrofuran F, 24-methylene cycloartenol, ferulate, 3-benzoylhosloppone and 10-hydroxyusambarensine interacted strongly with the conserved KDKE tetrad within the substrate binding pocket of the 2′-O-MTase of the coronavirus strains which is critical for substrate binding. The thermodynamic parameters analyzed from the MD simulation trajectories of the LPs-S2RMT complexes presented an eminent structural stability and compactness. These LPs demonstrated favorable druggability and in silico ADMET properties over a diverse array of molecular computing descriptors. The LPs show promising prospects in the disruption of S2RMT capping machinery in silico. However, these LPs should be validated via in vitro and in vivo experimental models.es
dc.description.disciplineCiencias Ambientaleses
dc.description.disciplineIngeniería, Industria y Construcciónes
dc.description.facultyEscuela Politécnicaes
dc.identifier.citationGyebi GA, Ogunyemi OM, Adefolalu AA, Rodríguez-Martínez A, López-Pastor JF, Banegas-Luna AJ, Pérez-Sánchez H, Adegunloye AP, Ogunro OB, Afolabi SO. African derived phytocompounds may interfere with SARS-CoV-2 RNA capping machinery via inhibition of 2'-O-ribose methyltransferase: An in silico perspective. J Mol Struct. 2022 Aug 15;1262:133019. doi: 10.1016/j.molstruc.2022.133019. Epub 2022 Apr 12. PMID: 35431328; PMCID: PMC9002684.es
dc.identifier.doi10.1016/j.molstruc.2022.133019es
dc.identifier.urihttp://hdl.handle.net/10952/8967
dc.issue.number133019es
dc.journal.titleJournal of Molecular Structurees
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCoronaviruses
dc.subjectSARS-CoV-2es
dc.subject2-O’-ribosemethyltransferasees
dc.subjectPhytochemicalses
dc.subjectMolecular dockinges
dc.subjectMolecular dynamicses
dc.subjectMulberrofuran Fes
dc.titleAfrican derived phytocompounds may interfere with SARS-CoV-2 RNA capping machinery via inhibition of 2'-O-ribose methyltransferase: An in silico perspectivees
dc.typejournal articlees
dc.volume.number1262es
dspace.entity.typePublication
person.affiliation.nameUniversidad Católica San Antonio de Murcia
person.identifier.orcid0000-0002-1251-8072
relation.isAuthorOfPublication2cb1631c-25f1-4796-8c65-04f62fd55b5e
relation.isAuthorOfPublication.latestForDiscovery2cb1631c-25f1-4796-8c65-04f62fd55b5e

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