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Omicron, delta, and beta, deadliest among SARS-CoV-2 variants: an in silico analysis

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorHasanuzzaman, Md.
dc.contributor.authorBosu, Sagar
dc.contributor.departmentDepartment of Mathematics and Natural Sciences
dc.date.accessioned2023-07-30T05:24:52Z
dc.date.available2023-07-30T05:24:52Z
dc.date.copyright2023
dc.date.issued2023-01
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Microbiology, 2023.en_US
dc.descriptionCatalogued from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 59-64).
dc.description.abstractSARS-CoV-2 has a higher mutation rate since it is emerging in Wuhan, China, and has a high propensity for mutation as it contains RNA as its genome. Because of its high transmissibility and new variants constantly mutating, global health and populations worldwide are under severe threat. There are many mutations that cause structural changes and their transmission power and risk severity, but the spike protein mutation was mainly responsible for the higher transmission and risk severity of SARS-CoV-2. From several geographic locations, including Africa, Asia, Europe, Oceania, and North and South America, fifty sequences of SARS-CoV-2 structural and nonstructural proteins (NSPs) from five variants were retrieved. BioEdit is used to perform multiple sequence alignments and protein homology modeling were performed using the Swiss model. Then, using Pymol, the proteins' 3D structures were seen, and their structural analysis was performed by superimposing them against the Wuhan sequence. Their RMSD values were also noted. Sequence alignment showed several common mutations and a few uncommon regional mutations in each of the five variants, but only the Beta, Delta, and Omicron variants had a few unique mutations. Structural analysis of such unique mutations revealed that they caused structural deviations in Beta, Delta, and Omicron spike proteins. Those findings provide insight into the functional and structural changes and its effects in SARS-CoV-2 spike protein mutations in Beta, Delta, and Omicron and a spike protein vulnerability that could be utilized to obtain comprehensive protection against those variants. Additionally, these variants had higher death rates, higher hospitalization rates, and more illnesses, all of which had a significant correlation with the structural deviations caused by those particular mutations. This study can help with regional vaccine strain selection, virus pathogenicity testing, diagnosis, and treatment.en_US
dc.description.degreeBachelor of Science in Microbiology
dc.description.statementofresponsibilitySagar Bosu
dc.format.extent64 pages
dc.identifier.otherID 17226006
dc.identifier.urihttp://hdl.handle.net/10361/19124
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectSARS-CoV-2en_US
dc.subjectMutationen_US
dc.subjectAlphaen_US
dc.subjectBetaen_US
dc.subjectGamaen_US
dc.subjectDeltaen_US
dc.subjectOmicronen_US
dc.subjectVaccineen_US
dc.subject.lcshCOVID-19 (Disease)--Vaccination
dc.titleOmicron, delta, and beta, deadliest among SARS-CoV-2 variants: an in silico analysisen_US
dc.typeThesisen_US

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