Evidence map›Paper›PMID 36468608›Full record

ArticleProtein science : a publication of the Protein Society2023

Exhaustive mutational analysis of severe acute respiratory syndrome coronavirus 2 ORF3a: An essential component in the pathogen's infectivity cycle.

Amit Benazraf, Isaiah T Arkin

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. The Redesign of the Molecular Scaffold of Viral Ion Channel Blockers.Computational and structural biotechnology journal · 2026
    Article
  2. 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

2 authors.

Amit BenazrafDepartment of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
Isaiah T ArkinDepartment of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0002-7659-1746

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detailed knowledge of a protein's key residues may assist in understanding its function and designing inhibitors against it. Consequently, such knowledge of one of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)'s proteins is advantageous since the virus is the etiological agent behind one of the biggest health crises of recent times. To that end, we constructed an exhaustive library of bacteria differing from each other by the mutated version of the virus's ORF3a viroporin they harbor. Since the protein is harmful to bacterial growth due to its channel activity, genetic selection followed by deep sequencing could readily identify mutations that abolish the protein's function. Our results have yielded numerous mutations dispersed throughout the sequence that counteract ORF3a's ability to slow bacterial growth. Comparing these data with the conservation pattern of ORF3a within the coronavirinae provided interesting insights: Deleterious mutations obtained in our study corresponded to conserved residues in the protein. However, despite the comprehensive nature of our mutagenesis coverage (108 average mutations per site), we could not reveal all of the protein's conserved residues. Therefore, it is tempting to speculate that our study unearthed positions in the protein pertinent to channel activity, while other conserved residues may correspond to different functionalities of ORF3a. In conclusion, our study provides important information on a key component of SARS-CoV-2 and establishes a procedure to analyze other viroporins comprehensively.

Indexed as

COVID-19SARS-CoV-2Amino Acid SequenceHumansMutagenesisMutationOpen Reading FramesViroporin ProteinsViroporin Proteinsevolutionary conservationgenetic selectionion channelvulnerability mapping

Identifiers

PMID36468608
PMCPMC9795539

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Registered trials

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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.