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.author | Joshi, Aryaman | |
| dc.contributor.author | Maurya, Shweata | |
| dc.contributor.author | Mahale, Atharva | |
| dc.contributor.author | Rath, Soumya Lipsa | |
| dc.contributor.author | Tripathi, Timir | |
| dc.contributor.author | Padhi, Aditya K. | |
| dc.date.accessioned | 2024-04-10T07:04:27Z | |
| dc.date.available | 2024-04-10T07:04:27Z | |
| dc.date.issued | 2023-10-03 | |
| dc.description | This paper published with affiliation IIT (BHU), Varanasi in open access mode. | en_US |
| dc.description.abstract | Severe 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.sponsorship | DST-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 Mandi | en_US |
| dc.identifier.issn | 24701343 | |
| dc.identifier.uri | https://idr-sdlib.iitbhu.ac.in/handle/123456789/3128 | |
| dc.language.iso | en | en_US |
| dc.publisher | American Chemical Society | en_US |
| dc.relation.ispartofseries | ACS Omega;08 | |
| dc.subject | SARS-CoV-2 | en_US |
| dc.subject | S-protein | en_US |
| dc.subject | physicochemical properties | en_US |
| dc.subject | epidemiological | en_US |
| dc.subject | GISAID | en_US |
| dc.title | 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 | en_US |
| dc.type | Article | en_US |
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