Evidence map›Paper›PMID 36398990›Full record

ArticleJournal of computational chemistry2023

Binding of human ACE2 and RBD of Omicron enhanced by unique interaction patterns among SARS-CoV-2 variants of concern.

Seonghan Kim, Yi Liu, Matthew Ziarnik, Sangjae Seo, Yiwei Cao, X Frank Zhang, Wonpil Im

Open access · greenAbstract read
In one paragraph

Article in Journal of computational chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 73 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Seonghan KimDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania, USA.ORCID 0000-0002-1890-0061
Yi LiuDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania, USA.
Matthew ZiarnikDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania, USA.
Sangjae SeoDivision of National Supercomputing, Korean Institute of Science and Technology Information, Daejeon, Republic of Korea.
Yiwei CaoDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania, USA.ORCID 0000-0002-4516-8689
X Frank ZhangDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania, USA.
Wonpil ImDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania, USA.ORCID 0000-0001-5642-6041
Lehigh University · USKorea Institute of Science & Technology Information · KR

Funding

CHARMM-GUI Development for Biomolecular Modeling and Simulation CommunityR01GM138472 · NIGMS · LEHIGH UNIVERSITY · PI IM, WONPIL · 2020 to 2023
$1.5M
Biomechanics of TIM Protein-Mediated Ebola Virus-Host Cell AdhesionR15AI133634 · NIAID · LEHIGH UNIVERSITY · PI JAGOTA, ANAND, ZHANG, XIAOHUI · 2018 to 2018
$435k
Biophysical characterization of SARS-CoV-2 spike protein - receptor interactionsR21AI163708 · NIAID · LEHIGH UNIVERSITY · PI IM, WONPIL, ZHANG, XIAOHUI · 2021 to 2022
$426k
NIAID NIH HHS R15 AI133634NIAID NIH HHS R21 AI163708NIGMS NIH HHS R01 GM138472
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus causing COVID-19, has continued to mutate and spread worldwide despite global vaccination efforts. In particular, the Omicron variant, first identified in South Africa in late November 2021, has become the dominant strain worldwide. Compared to the original strain identified in Wuhan, Omicron features 50 genetic mutations, with 15 mutations in the receptor-binding domain (RBD) of the spike protein, which binds to the human angiotensin-converting enzyme 2 (ACE2) receptor for viral entry. However, it is not completely understood how these mutations alter the interaction and binding strength between the Omicron RBD and ACE2. In this study, we used a combined steered molecular dynamics (SMD) simulation and experimental microscale thermophoresis (MST) approach to quantify the interaction between Omicron RBD and ACE2. We report that the Omicron brings an enhanced RBD-ACE2 interface through N501Y, Q498R, and T478K mutations; the changes further lead to unique interaction patterns, reminiscing the features of previously dominated variants, Alpha (N501Y) and Delta (L452R and T478K). Among the Q493K and Q493R, we report that Q493R shows stronger binding to ACE2 than Q493K due to increased interactions. Our MST data confirmed that the Omicron mutations in RBD are associated with a five-fold higher binding affinity to ACE2 compared to the RBD of the original strain. In conclusion, our results could help explain the Omicron variant's prevalence in human populations, as higher interaction forces or affinity for ACE2 likely promote greater viral binding and internalization, leading to increased infectivity.

Indexed as

COVID-19SARS-CoV-2Angiotensin-Converting Enzyme 2HumansMolecular Dynamics SimulationMutationProtein BindingACE2 protein, humanAngiotensin-Converting Enzyme 2

Identifiers

PMID36398990
PMCPMC9825653
OpenAlexW4309365334

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.