Evidence map›Paper›PMID 36248211›Full record

ArticleAdvanced theory and simulations2022

Computation of the Binding Energies between Human ACE2 and Spike RBDs of the Original Strain, Delta and Omicron Variants of the SARS-CoV-2: A DFT Simulation Approach.

Serhan Yamacli, Mutlu Avci

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Article in Advanced theory and simulations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

2 authors.

Serhan YamacliDepartment of Electrical-Electronics Engineering Nuh Naci Yazgan University Kayseri 38090 Turkey.ORCID https://orcid.org/0000-0002-3375-0241
Mutlu AvciDepartment of Biomedical Engineering Cukurova University Adana 01330 Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The receptor binding domain (RBD) of SARS-CoV-2 binds to human ACE2 leading to infection. In this study, the complexes that are formed by the attachment of the SARS-CoV-2 spike RBDs of the original strain, delta and omicron variants to the human ACE2 are investigated via density functional theory (DFT) simulations to obtain binding energies. The DFT computations are performed without fragmenting the interfaces to involve longer-range interactions for improved accuracy, which is one of the primary features of the approach used in this study. Basis set superposition error corrections and van der Waals dispersions are also included in the DFT simulations. The binding energies of the SARS-CoV-2 spike RBDs of the original strain, delta and omicron variants to the human ACE2 are computed as -4.76, -6.68, and -11.77 eV, respectively. These binding energy values indicate that the binding of the omicron variant to the ACE2 is much more favorable than the binding of the original strain and the delta variant, which constitute a molecular reason for the takeover of the omicron variant. The binding energies and the decomposition of these energies found in this study are expected to aid in the development of neutralizing agents.

Indexed as

ab initio simulationdelta variantdensity functional theoryomicron variantSARS‐CoV‐2

Identifiers

PMID36248211
PMCPMC9538088

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