Evidence map›Paper›PMID 33890205›Full record

ArticleThe protein journal2021

In Silico Study of Mutational Stability of SARS-CoV-2 Proteins.

Dwaipayan Chaudhuri, Satyabrata Majumder, Joyeeta Datta, Kalyan Giri

Abstract read
In one paragraph

Article in The protein journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. SARS-CoV-2 E protein: Pathogenesis and potential therapeutic development.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2023
    Review
  3. Article
  4. Article
  5. 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

4 authors.

Dwaipayan ChaudhuriDepartment of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India.
Satyabrata MajumderDepartment of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India.
Joyeeta DattaDepartment of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India.
Kalyan GiriDepartment of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India. kalyan.dbs@presiuniv.ac.in.ORCID 0000-0001-5681-2612

Funding

Presidency University (IN) FRPDF
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), an enveloped RNA virus transmits by droplet infection thus affects the respiratory system. Different genomes have been reported globally for SARS-CoV-2 with moderate level of mutation which makes it harder to combat the virus. Mutational profiling and the relevant evolutionary aspect of coronavirus proteins namely spike glycoprotein, membrane protein, envelope protein, nucleoprotein, ORF1ab, ORF3a, ORF6, ORF7a, ORF7b and ORF8 were studied by in silico experiments. Clustering of the protein sequences and calculation of residue relative abundance were done to get an idea about the protein conservancy as well as finding out some representative sequences for phylogenetic and ancestral reconstruction. By mutational profiling and mutation analysis, the effect of mutations on the protein stability and their functional implication were studied. This study indicates the mutational effect on the proteins and their relevance in evolution, which directs us towards a better understanding of these variations and diversification of SARS-CoV-2 for useful future therapeutic study and thus aid in designing therapeutic agents keeping the highly variable regions in mind.

Indexed as

Computer SimulationGenome, ViralMutationPhylogenyCOVID-19HumansSARS-CoV-2Viral ProteinsViral ProteinsClusteringMutation profilingMutation stabilitySARS-CoV-2 proteinsShannon entropy

Identifiers

PMID33890205
PMCPMC8061876

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.