Evidence map›Paper›PMID 34720581›Full record

ArticleBioinformatics and biology insights2021

Prediction of the Effects of Variants and Differential Expression of Key Host Genes

Md Shahadat Hossain, Mahafujul Islam Quadery Tonmoy, Atqiya Fariha, Md Sajedul Islam, Arpita Singha Roy, Md Nur Islam, Kumkum Kar, Mohammad Rahanur Alam, Md Mizanur Rahaman

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics and biology insights, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Predictive Factors andInternational journal of molecular sciences · 2023
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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

9 authors at 3 institutions in 1 country.

Md Shahadat HossainDepartment of Biotechnology & Genetic Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh.
Mahafujul Islam Quadery TonmoyDepartment of Biotechnology & Genetic Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh.
Atqiya FarihaDepartment of Biotechnology & Genetic Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh.
Md Sajedul IslamDepartment of Biochemistry & Biotechnology, University of Barishal, Barishal, Bangladesh.
Arpita Singha RoyDepartment of Biotechnology & Genetic Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh.
Md Nur IslamDepartment of Biotechnology & Genetic Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh.
Kumkum KarDepartment of Biotechnology & Genetic Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh.
Mohammad Rahanur AlamDepartment of Food Technology & Nutrition Science, Noakhali Science and Technology University, Noakhali, Bangladesh.
Md Mizanur RahamanDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-6939-0500
Noakhali Science and Technology University · BDUniversity of Barishal · BDUniversity of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new strain of the beta coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is solely responsible for the ongoing coronavirus disease 2019 (COVID-19) pandemic. Although several studies suggest that the spike protein of this virus interacts with the cell surface receptor, angiotensin-converting enzyme 2 (ACE2), and is subsequently cleaved by TMPRSS2 and FURIN to enter into the host cell, conclusive insight about the interaction pattern of the variants of these proteins is still lacking. Thus, in this study, we analyzed the functional conjugation among the spike protein, ACE2, TMPRSS2, and FURIN in viral pathogenesis as well as the effects of the mutations of the proteins through the implementation of several bioinformatics approaches. Analysis of the intermolecular interactions revealed that T27A (ACE2), G476S (receptor-binding domain [RBD] of the spike protein), C297T (TMPRSS2), and P812S (cleavage site for TMPRSS2) coding variants may render resistance in viral infection, whereas Q493L (RBD), S477I (RBD), P681R (cleavage site for FURIN), and P683W (cleavage site for FURIN) may lead to increase viral infection. Genotype-specific expression analysis predicted several genetic variants of

Indexed as

ACE2co-expression analysisFURINmutation analysisSARS-CoV-2TMPRSS2

Identifiers

PMID34720581
PMCPMC8554545
OpenAlexW3210963559

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.