Evidence map›Paper›PMID 32786452›Full record

ArticleAnalytical chemistry2020

Advanced Analysis of Biosensor Data for SARS-CoV-2 RBD and ACE2 Interactions.

Patrik Forssén, Jörgen Samuelsson, Karol Lacki, Torgny Fornstedt

Abstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Binding affinity between coronavirus spike protein and human ACE2 receptor.Computational and structural biotechnology journal · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Label-free methods for opticalPhysical chemistry chemical physics : PCCP · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Nano-size dependence in the adsorption by the SARS-CoV-2 spike protein over gold colloid.Colloids and surfaces. A, Physicochemical and engineering aspects · 2021
    Article
  14. 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

4 authors.

Patrik ForssénDepartment of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden.
Jörgen SamuelssonDepartment of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden.
Karol LackiDepartment of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden.
Torgny FornstedtDepartment of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden.ORCID 0000-0002-7123-2066

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The traditional approach for analyzing interaction data from biosensors instruments is based on the simplified assumption that also larger biomolecules interactions are homogeneous. It was recently reported that the human receptor angiotensin-converting enzyme 2 (ACE2) plays a key role for capturing SARS-CoV-2 into the human target body, and binding studies were performed using biosensors techniques based on surface plasmon resonance and bio-layer interferometry. The published affinity constants for the interactions, derived using the traditional approach, described a single interaction between ACE2 and the SARS-CoV-2 receptor binding domain (RBD). We reanalyzed these data sets using our advanced four-step approach based on an adaptive interaction distribution algorithm (AIDA) that accounts for the great complexity of larger biomolecules and gives a two-dimensional distribution of association and dissociation rate constants. Our results showed that in both cases the standard assumption about a single interaction was erroneous, and in one of the cases, the value of the affinity constant

Indexed as

AlgorithmsAngiotensin-Converting Enzyme 2BetacoronavirusHumansInterferometryKineticsLigandsPeptidyl-Dipeptidase AProtein BindingProtein DomainsSARS-CoV-2Spike Glycoprotein, CoronavirusSurface Plasmon ResonanceACE2 protein, humanAngiotensin-Converting Enzyme 2LigandsPeptidyl-Dipeptidase ASpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID32786452
PMCPMC7440141

What OpenQuestion holds

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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.