Furin and the adaptive mutation of SARS-COV2: A computational framework

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dc.contributor.authorSohail, Ayesha
dc.contributor.authorTunç, Sümeyye
dc.contributor.authorNutini, Alessandro
dc.contributor.authorArif, Robia
dc.date.accessioned2022-12-30T10:25:42Z
dc.date.available2022-12-30T10:25:42Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu, Fizyoterapi Ana Bilim Dalı
dc.description.abstractSARS-2 virus has reached its most harmful mutated form and has damaged the world's economy, integrity, health system and peace to a limit. An open problem is to address the release of antibodies after the infection and after getting the individuals vaccinated against the virus. The viral fusion process is linked with the furin enzyme and the adaptation is linked with the mutation, called D614G mutation. The cell-protein studies are extremely challenging. We have developed a mathematical model to address the process at the cell-protein level and the delay is linked with this biological process. Genetic algorithm is used to approximate the parametric values. The mathematical model proposed during this research consists of virus concentration, the infected cells count at different stages and the effect of interferon. To improve the understanding of this model of SARS-CoV2 infection process, the action of interferon (IFN) is quantified using a variable for the non-linear mathematical model, that is based on a degradation parameter gamma. This parameter is responsible for the delay in the dynamics of this viral action. We emphasize that this delay responds to the evasion by SARS-CoV2 via antagonizing IFN production, inhibiting IFN signaling and improving viral IFN resistance. We have provided videos to explain the modeling scheme.
dc.identifier.citationSohail, A., Tunç, S., Nutini, A. ve Arif, R. (2022). Furin and the adaptive mutation of SARS-COV2: A computational framework. Modeling Earth Systems and Environment, 8(2), 2827-2836. https://doi.org/10.1007/s40808-021-01260-y
dc.identifier.doi10.1007/s40808-021-01260-y
dc.identifier.endpage2836
dc.identifier.issn2363-6203
dc.identifier.issn2363-6211
dc.identifier.issue2
dc.identifier.pmid34466655
dc.identifier.scopus2-s2.0-85113570856
dc.identifier.scopusqualityQ1
dc.identifier.startpage2827
dc.identifier.urihttps://doi.org/10.1007/s40808-021-01260-y
dc.identifier.urihttps://hdl.handle.net/20.500.12511/10216
dc.identifier.volume8
dc.identifier.wos000689669500002en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorTunç, Sümeyye
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofModeling Earth Systems and Environmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectFurin
dc.subjectSARS-Cov2
dc.subjectHybrid Genetic Algorithm
dc.subjectEquilibrium
dc.subjectSensitivity Analysis
dc.titleFurin and the adaptive mutation of SARS-COV2: A computational framework
dc.typeArticle

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