Evidence map›Paper›PMID 33067518›Full record

ArticleScientific reports2020

Quantifying the adhesive strength between the SARS-CoV-2 S-proteins and human receptor and its effect in therapeutics.

Mauricio Ponga

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Mauricio PongaDepartment of Mechanical Engineering, University of British Columbia, 2054-6250 Applied Science Lane, Vancouver, BC, V6T 1Z4, Canada. mponga@mech.ubc.ca.
University of British Columbia · CA

Funding

Tri-agency Institutional Programs Secretariat NFRFE-2019-01095
6 · The paper itself

Abstract

The binding affinity and adhesive strength between the spike (S) glycoproteins of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the human angiotensin-converting enzyme 2 (ACE2) receptor is computed using molecular dynamics (MD) simulations. The calculations indicate that the binding affinity is [Formula: see text] [Formula: see text] with a maximum adhesive force of [Formula: see text] pN. Our analysis suggests that only 27 (13 in S-protein, 14 in ACE2) residues are active during the initial fusion process between the S-protein and ACE2 receptor. With these insights, we investigated the effect of possible therapeutics in the size and wrapping time of virus particles by reducing the binding energy. Our analysis indicates that this energy has to be reduced significantly, around 50% or more, to block SARS-CoV-2 particles with radius in the order of [Formula: see text] nm. Our study provides concise target residues and target binding energy reduction between S-proteins and receptors for the development of new therapeutics treatments for COVID-19 guided by computational design.

Indexed as

Angiotensin-Converting Enzyme 2BetacoronavirusBinding SitesCoronavirus InfectionsCOVID-19EndocytosisHumansMolecular Dynamics SimulationPandemicsPeptidyl-Dipeptidase APneumonia, ViralProtein BindingSARS-CoV-2Spike Glycoprotein, CoronavirusStatic ElectricityThermodynamicsACE2 protein, humanAngiotensin-Converting Enzyme 2Peptidyl-Dipeptidase ASpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID33067518
PMCPMC7568573
OpenAlexW3092861928

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.