Evidence map›Paper›PMID 34404957›Full record

ArticleJournal of molecular structure2022

Molecular docking and dynamic simulations of Cefixime, Etoposide and Nebrodenside A against the pathogenic proteins of SARS-CoV-2.

Haroon Ur Rashid, Nasir Ahmad, Mohnad Abdalla, Khalid Khan, Marco Antonio Utrera Martines, Samah Shabana

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular structure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. In silico investigation of cannabinoids fromIn silico pharmacology · 2024
    Article
  5. Article
  6. In Silico Analysis of the Effect ofMedicina (Kaunas, Lithuania) · 2023
    Article
  7. Article
  8. Molecular Dynamic Analysis of Carbapenem-ResistantMolecules (Basel, Switzerland) · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
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

6 authors at 4 institutions in 3 countries.

Haroon Ur RashidInstitute of Chemistry, Federal University of Mato Grosso do Sul, Campo Grande, MS, 79074-460, Brazil.
Nasir AhmadDepartment of Chemistry, Islamia College University, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Mohnad AbdallaKey Laboratory of Chemical Biology (Ministry of Education), Department of Pharmaceutics, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, 44 Cultural West Road, Shandong Province 250012, PR China.
Khalid KhanDepartment of Chemistry, Islamia College University, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Marco Antonio Utrera MartinesInstitute of Chemistry, Federal University of Mato Grosso do Sul, Campo Grande, MS, 79074-460, Brazil.
Samah ShabanaDepartment of Biochemistry and Molecular Biology, College of Marine Life Sciences, Ocean University of China, Qingdao 266003, PR China.
Islamia College University · PKUniversidade Federal de Mato Grosso do Sul · BROcean University of China · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The catastrophe of the coronavirus continues from one part of the world to another, and hardly a country is left without its devastations. Millions of people were infected and several hundred thousand died of the COVID-19 pandemic across the world. There is no clear targeted drug therapy available for the treatment of the patients. The discovery of vaccines is not enough to curtail its spread and disastrous implications. An instantly qualifying approach is needed to utilize the current drugs and isolated compounds. The purpose of this work is to determine potent inhibitors against the target proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). For this purpose, molecular docking study of pathogenic spike glycoproteins (S), nucleocapsid phosphoprotein (N), an envelope protein (E), two drugs i.e., cefixime, etoposide, and a previously isolated compound nebrodenside A is performed. Promising results were obtained via complimentary analysis of molecular dynamics (MD) simulations performed for the complexes of three proteins with etoposide drug. Minimum values were recorded for the docking scores and binding energies of the complexes. These results were further supported by the RMSD, RMSF data for the stability of proteins and ligands. Additionally, ligand properties and ligand-protein contacts were also explained with histograms of every simulation trajectory. The computational studies confirmed that cefixime, etoposide, and nebrodenoside A can be used as potent inhibitors of COVID-19. Nevertheless, additional experimental investigations and validation of the selected candidates are mandatory to confirm their applicability for clinical trials.

Indexed as

CefiximeCoronavirusEtoposidePathogenic protein

Identifiers

PMID34404957
PMCPMC8362340
OpenAlexW3194008544

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.