Evidence map›Paper›PMID 35552474›Full record

ArticleScientific reports2022

In silico mutational analysis of ACE2 to check the susceptibility of lung cancer patients towards COVID-19.

Zumama Khalid, Abeedha Tu-Allah Khan, Radwan Alnajjar, Eman Santali, Abdul Rauf Shakoori

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 3 institutions in 4 countries.

Zumama KhalidSchool of Biological Sciences, University of the Punjab, Quaid-i-Azam Campus, Lahore, 54590, Pakistan. zumama.khalid@gmail.com.
Abeedha Tu-Allah KhanSchool of Biological Sciences, University of the Punjab, Quaid-i-Azam Campus, Lahore, 54590, Pakistan.
Radwan AlnajjarDepartment of Chemistry, Faculty of Science, University of Benghazi, Benghazi, Libya.
Eman SantaliCollege of Pharmacy, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Abdul Rauf ShakooriSchool of Biological Sciences, University of the Punjab, Quaid-i-Azam Campus, Lahore, 54590, Pakistan.
University of the Punjab · PKTaif University · SAUniversity of Benghazi · LY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Being the second major cause of death worldwide, lung cancer poses a significant threat to the health of patients. This worsened during the era of pandemic since lung cancer is found to be more prone to SARS-CoV-2 infection. Many recent studies imply a high frequency of COVID-19 infection associated severe outcome. However, molecular studies are still lacking in this respect. Hence the current study is designed to investigate the binding affinities of ACE2 lung cancer mutants with the viral spike protein to find the susceptibility of respective mutants carrying patients in catching the virus. Quite interestingly, our study found lesser binding affinities of all the selected mutants thus implying that these cancer patients might be less affected by the virus than others. These results are opposed to the recent studies' propositions and open new avenues for more in-depth studies.

Indexed as

COVID-19Lung NeoplasmsAngiotensin-Converting Enzyme 2HumansProtein BindingSARS-CoV-2Spike Glycoprotein, CoronavirusACE2 protein, humanAngiotensin-Converting Enzyme 2Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35552474
PMCPMC9098448
OpenAlexW4280608026

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.