Proteomic Approach for Comparative Analysis of the Spike Protein of SARS-CoV-2 Omicron (B.1.1.529) Variant and Other Pango Lineages

dc.contributor.authorJain Mukul
dc.contributor.authorPatil Nil
dc.contributor.authorGor Darshil
dc.contributor.authorSharma Mohit Kumar
dc.contributor.authorGoel Neha
dc.contributor.authorKaushik Prashant
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id178101317
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/178101317
dc.date.accessioned2025-08-28T00:47:29Z
dc.date.available2025-08-28T00:47:29Z
dc.description.abstractThe novel SARS-CoV-2 variant, Omicron (B.1.1.529), is being testified, and the WHO has characterized Omicron as a variant of concern due to its higher transmissibility and very contagious behavior, immunization breakthrough cases. Here, the comparative proteomic study has been conducted on spike-protein, hACE2 of five lineages (alpha, beta, delta, gamma and Omicron. The docking was performed on spike protein- hACE-2 protein using HADDOCK, and PRODIGY was used to analyze the binding energy affinity using a reduced Haddock score. Followed by superimposition in different variant-based protein structures and calculated the esteem root mean square deviation (RMSD). This study reveals that Omicron was seen generating a monophyletic clade. Further, as alpha variant is the principal advanced strain after Wuhan SARS-CoV-2, and that is the reason it was showing the least likeness rate with the Omicron and connoting Omicron has developed of late with the extreme number of mutations. alpha variant has shown the highest binding affinity with hACE2, followed by beta strain, and followed with gamma. Omicron showed a penultimate binding relationship, while the delta variant was seen as having the least binding affinity. This proteomic basis in silico analysis of variable spike proteins of variants will impart light on the development of vaccines and the identification of mutations occurring in the upcoming variants.
dc.identifier.jour-issn2227-7382
dc.identifier.olddbid206419
dc.identifier.oldhandle10024/189446
dc.identifier.urihttps://www.utupub.fi/handle/11111/45930
dc.identifier.urlhttps://doi.org/10.3390/proteomes10040034
dc.identifier.urnURN:NBN:fi-fe202301276040
dc.language.isoen
dc.okm.affiliatedauthorGoel, Neha
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherMDPI
dc.publisher.countrySwitzerlanden_GB
dc.publisher.countrySveitsifi_FI
dc.publisher.country-codeCH
dc.publisher.placeBasel
dc.relation.articlenumber34
dc.relation.doi10.3390/proteomes10040034
dc.relation.ispartofjournalProteomes
dc.relation.issue4
dc.relation.volume10
dc.source.identifierhttps://www.utupub.fi/handle/10024/189446
dc.titleProteomic Approach for Comparative Analysis of the Spike Protein of SARS-CoV-2 Omicron (B.1.1.529) Variant and Other Pango Lineages
dc.year.issued2022

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