Evidence map›Paper›PMID 35118473›Full record

ArticlebioRxiv : the preprint server for biology2022

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, Yiwei Cao, X Frank Zhang, Wonpil Im

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 39 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Seonghan KimDepartment of Bioengineering, Lehigh University, 111 Research Dr, Bethlehem, PA 18015, USA.
Yi LiuDepartment of Bioengineering, Lehigh University, 111 Research Dr, Bethlehem, PA 18015, USA.
Matthew ZiarnikDepartment of Bioengineering, Lehigh University, 111 Research Dr, Bethlehem, PA 18015, USA.
Yiwei CaoDepartments of Biological Sciences, Chemistry, and Computer Science and Engineering, Lehigh University, 111 Research Dr, Bethlehem, PA 18015, USA.
X Frank ZhangDepartment of Bioengineering, Lehigh University, 111 Research Dr, Bethlehem, PA 18015, USA.
Wonpil ImDepartment of Bioengineering, Lehigh University, 111 Research Dr, Bethlehem, PA 18015, USA.
Lehigh University · US

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

The 2019 coronavirus disease (COVID-19) pandemic has had devastating impacts on our global health. 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 now overtaken the Delta variant and 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, Q493K/R, 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). 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 result 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. TOC GRAPHIC:

Identifiers

PMID35118473
PMCPMC8811907
OpenAlexW4210280350

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.