Evidence map›Paper›PMID 37305192›Full record

ArticleInformatics in medicine unlocked2023

Jeffry Medina-Barandica, Neyder Contreras-Puentes, Arnulfo Tarón-Dunoyer, Marlene Durán-Lengua, Antistio Alviz-Amador

Open access · goldAbstract read
In one paragraph

Article in Informatics in medicine unlocked, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The metaproteome of the gut microbiota in pediatric patients affected by COVID-19.Frontiers in cellular and infection microbiology · 2023
    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

5 authors at 1 institution in 1 country.

Jeffry Medina-BarandicaPharmacology and Therapeutic Research Group, Faculty of Pharmaceutical Sciences, University of Cartagena, Cartagena, D.T. y C, Colombia.
Neyder Contreras-PuentesPharmacology and Therapeutic Research Group, Faculty of Pharmaceutical Sciences, University of Cartagena, Cartagena, D.T. y C, Colombia.
Arnulfo Tarón-DunoyerGIBAE Research Group, Faculty of Engineering, University of Cartagena, Cartagena, D.T. y C, Colombia.
Marlene Durán-LenguaFARMABAC Research Group, Faculty of Medicine, University of Cartagena, Cartagena, D.T. y C, Colombia.
Antistio Alviz-AmadorPharmacology and Therapeutic Research Group, Faculty of Pharmaceutical Sciences, University of Cartagena, Cartagena, D.T. y C, Colombia.
University of Cartagena · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of the new SARS-CoV-2 virus, which causes the disease known as COVID-19, has generated a pandemic that has plunged the world into a health crisis. The infection process is triggered by the direct binding of the receptor-binding domain (RBD) of the spike (S) protein of SARS-CoV-2 to the angiotensin-converting enzyme 2 (ACE2) of the host cell. In the present study, virtual screening techniques such as molecular docking, molecular dynamics, calculation of free energy using the GBSA method, prediction of drug similarity, pharmacokinetic, and toxicological properties of various ligands interacting with the RBD-ACE2 complex were applied. The ligands radotinib, hinokiflavone, and ginkgetin were identified as potential destabilizers of the RBD-ACE2 interaction, which could produce their pharmacological effect by interacting at an allosteric site of ACE2, with affinity energy values of -10.2 ± 0.1, -9.8 ± 0.0, and -9.4 ± 0.0 kcal/mol, indicating strong receptor affinity. The complex with hinokiflavone showed the highest conformational stability and rigidity of the dynamic simulation and also obtained the best binding free energy of the three molecules, with an energy of -215.86 kcal/mol.

Indexed as

ACE2COVID-19Molecular dockingMolecular dynamicsRBDSARS-CoV-2

Identifiers

PMID37305192
PMCPMC10241490
OpenAlexW4379467616

What OpenQuestion holds

Textmetadata
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.