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.identifier.issn |
24701343 |
|
dc.identifier.uri |
http://localhost:8080/xmlui/handle/123456789/3128 |
|
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.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 |