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Delineating the Structure-Dynamics-Binding Differences among BA.1, BA.4/5, and BF.7 SARS-CoV-2 Variants through Atomistic Simulations: Correlation with Structural and Epidemiological Features

dc.contributor.authorJoshi, Aryaman
dc.contributor.authorMaurya, Shweata
dc.contributor.authorMahale, Atharva
dc.contributor.authorRath, Soumya Lipsa
dc.contributor.authorTripathi, Timir
dc.contributor.authorPadhi, Aditya K.
dc.date.accessioned2024-04-10T07:04:27Z
dc.date.available2024-04-10T07:04:27Z
dc.date.issued2023-10-03
dc.descriptionThis paper published with affiliation IIT (BHU), Varanasi in open access mode.en_US
dc.description.abstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an RNA virus possessing a spike (S) protein that facilitates the entry of the virus into human cells. The emergence of highly transmissible and fit SARS-CoV-2 variants has been driven by the positive selection of mutations within the S-protein. Notable among these variants are alpha, beta, gamma, delta, and omicron (BA.1), with the latter contributing to significant global health challenges and impacting populations worldwide. Recently, a novel subvariant of BA.1, named BF.7, has surfaced, purportedly exhibiting elevated transmissibility and infectivity rates. In order to comprehend and compare the transmissibility and disease progression characteristics of distinct SARS-CoV-2 variants, we performed an extensive comparative analysis utilizing all-atom molecular dynamics (MD) simulations (in triplicate) to investigate the structural, dynamic, and binding features of BA.1, BA.4/5, and BF.7. Our simulation findings, energetic analysis, and assessment of physicochemical properties collectively illuminate the dominance of the BA.1 variant over the others, a trend that is further substantiated by the sustained global prevalence of BA.1 relative to BA.4/5 and BF.7. Additionally, our simulation results align well with the reported cryoelectron microscopy (cryo-EM) structural data and epidemiological characteristics obtained from the Global Initiative on Sharing All Influenza Data (GISAID). This study presents a comprehensive comparative elucidation of the critical structural, dynamic, and binding attributes of these variants, providing insights into the predominance of BA.1 and its propensity to continuously generate numerous novel subvariants.en_US
dc.description.sponsorshipDST-funded I-DAPT Hub Foundation- 2020/02, DST/NMICPS/TIH11/IIT Government of India Indian Council of Medical Research- Budget/19-(14)/2022-23/17507, 52/06/2020/BIO/BMS Banaras Hindu University Ministry of Education, India Indian Institute of Technology Mandien_US
dc.identifier.issn24701343
dc.identifier.urihttps://idr-sdlib.iitbhu.ac.in/handle/123456789/3128
dc.language.isoenen_US
dc.publisherAmerican Chemical Societyen_US
dc.relation.ispartofseriesACS Omega;08
dc.subjectSARS-CoV-2en_US
dc.subjectS-proteinen_US
dc.subjectphysicochemical propertiesen_US
dc.subjectepidemiologicalen_US
dc.subjectGISAIDen_US
dc.titleDelineating the Structure-Dynamics-Binding Differences among BA.1, BA.4/5, and BF.7 SARS-CoV-2 Variants through Atomistic Simulations: Correlation with Structural and Epidemiological Featuresen_US
dc.typeArticleen_US

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Delineating the Structure-Dynamics-Binding Differences among BA.1, BA.4/5, and BF.7 SARS-CoV-2 Variants through Atomistic Simulations: Correlation with Structural and Epidemiological Features

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