Computer simulations on oxidative stress-induced reactions in SARS-CoV-2 spike glycoprotein: a multi-scale approach

dc.contributor.authorBertran Cànovas, Òscar
dc.contributor.authorMartí Ballesté, Dídac
dc.contributor.authorTorras Costa, Juan
dc.contributor.authorTuron, Pau
dc.contributor.authorAlemán Llansó, Carlos
dc.contributor.groupUniversitat Politècnica de Catalunya. IMEM-BRT- Innovation in Materials and Molecular Engineering - Biomaterials for Regenerative Therapies
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Polímers i Biopolímers
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2022-06-13T12:21:52Z
dc.date.available2022-06-13T12:21:52Z
dc.date.issued2022-01-01
dc.description.abstractOxidative stress, which occurs when an organism is exposed to an adverse stimulus that results in a misbalance of antioxidant and pro-oxidants species, is the common denominator of diseases considered as a risk factor for SARS-CoV-2 lethality. Indeed, reactive oxygen species caused by oxidative stress have been related to many virus pathogenicity. In this work, simulations have been performed on the receptor binding domain of SARS-CoV-2 spike glycoprotein to study what residues are more susceptible to be attacked by ·OH, which is one of the most reactive radicals associated to oxidative stress.
dc.description.sponsorshipJ.T. acknowledges “PRACE for awarding us access to Joliot-Curie at GENCI@CEA(Irene), France, through the “PRACE support to mitigate impact of COVID-19 pandemic” call. CA acknowledges AGAUR (2017SGR359) and B. Braun Surgical, S.A.U. for fnancial support.
dc.description.versionPostprint (published version)
dc.format.extent13 p.
dc.identifier.citationBertran, O. [et al.]. Computer simulations on oxidative stress-induced reactions in SARS-CoV-2 spike glycoprotein: a multi-scale approach. "Molecular Diversity", 1 Gener 2022, vol. Feb, p. 1-13.
dc.identifier.doi10.1007/s11030-021-10373-6
dc.identifier.issn1573-501X
dc.identifier.urihttps://hdl.handle.net/2117/368363
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.projectid2017sgr359
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s11030-021-10373-6
dc.rights.accessOpen Access
dc.rights.licensenameAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Simulació
dc.subject.lcshCOVID-19 (Disease)
dc.subject.lemacCOVID-19 (Malaltia)
dc.subject.otherHydrogen abstraction
dc.subject.otherIsoleucine
dc.subject.otherMolecular dynamics
dc.subject.otherReactive oxygen species
dc.subject.otherReceptor binding domain
dc.subject.otherSpike protein
dc.titleComputer simulations on oxidative stress-induced reactions in SARS-CoV-2 spike glycoprotein: a multi-scale approach
dc.typeArticle
dspace.entity.typePublication
local.citation.authorBertran, O.; Martí, D.; Torras, J.; Turon, P.; Aleman, C.
local.citation.endingPage13
local.citation.publicationNameMolecular Diversity
local.citation.startingPage1
local.citation.volumeFeb
local.identifier.drac32835445

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