Evidence map›Paper›PMID 34307830›Full record

ArticleInformatics in medicine unlocked2021

In-Silico analysis reveals lower transcription efficiency of C241T variant of SARS-CoV-2 with host replication factors MADP1 and hnRNP-1.

Armi Chaudhari, Minal Chaudhari, Sapna Mahera, Zuber Saiyed, Neelam M Nathani, Shantanu Shukla, Dhaval Patel, Chirag Patel, Madhvi Joshi, Chaitanya G Joshi

Open access · goldAbstract read
In one paragraph

Article in Informatics in medicine unlocked, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  14. Host and Viral Zinc-Finger Proteins in COVID-19.International journal of molecular sciences · 2022
    Review
  15. Evaluation of immune evasion in SARS-CoV-2 Delta and Omicron variants.Computational and structural biotechnology journal · 2022
    Article
  16. Article
  17. 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

10 authors at 4 institutions in 2 countries.

Armi ChaudhariGujarat Biotechnology Research Centre (GBRC), Sector- 11, Gandhinagar - 382011, Gujarat, India.
Minal ChaudhariGujarat Biotechnology Research Centre (GBRC), Sector- 11, Gandhinagar - 382011, Gujarat, India.
Sapna MaheraGujarat Biotechnology Research Centre (GBRC), Sector- 11, Gandhinagar - 382011, Gujarat, India.
Zuber SaiyedGujarat Biotechnology Research Centre (GBRC), Sector- 11, Gandhinagar - 382011, Gujarat, India.
Neelam M NathaniGujarat Biotechnology Research Centre (GBRC), Sector- 11, Gandhinagar - 382011, Gujarat, India.
Shantanu ShuklaGenome Science and Technology, The University of Tennessee, Knoxville, TN - 37996, United States.
Dhaval PatelDepartment of Bioinformatics and Structural Biology, Indian Institute of Advanced Research, Gandhinagar, 382426, Gujarat, India.
Chirag PatelDepartment of Botany, Bioinformatics and Climate Change Impacts Management, University School of Sciences, Gujarat University, Ahmedabad, 380009, India.
Madhvi JoshiGujarat Biotechnology Research Centre (GBRC), Sector- 11, Gandhinagar - 382011, Gujarat, India.
Chaitanya G JoshiGujarat Biotechnology Research Centre (GBRC), Sector- 11, Gandhinagar - 382011, Gujarat, India.
Government of Gujarat · INGujarat University · INIndian Institute of Advanced Research · INUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has claimed more than 3.3 million lives worldwide and still counting. As per the GISAID database, the genomics of SARS-CoV-2 has been extensively studied, with more than 500 genome submissions per day. Out of several hotspot mutations within the SARS-CoV-2 genome, recent research has focused mainly on the missense variants. Moreover, significantly less attention has been accorded to delineate the role of the untranslated regions (UTRs) of the SARS-CoV-2 genome in the disease progression and etiology. One of the most frequent 5' UTR variants in the SARS-CoV-2 genome is the C241T, with a global frequency of more than 95 %. In the present study, the effect of the C241T mutation has been studied with respect to the changes in RNA structure and its interaction with the host replication factors MADP1 Zinc finger CCHC-type and RNA-binding motif 1 (hnRNP1). The results obtained from molecular docking and molecular dynamics simulation indicated weaker interaction of C241T mutant stem-loops with the host transcription factor MADP1, indicating a reduced replication efficiency. The results are also correlated with increased recovery rates and decreased death rates of global SARS-CoV-2 cases.

Indexed as

5′UTRC241ThnRNP1MADP1MD simulationsMMPBSAProtein-RNA complexesSARS-CoV-2

Identifiers

PMID34307830
PMCPMC8294647
OpenAlexW3187040999

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.