Evidence map›Paper›PMID 33647446›Full record

ReviewMicrobial pathogenesis2021

Latest updates on SARS-CoV-2 genomic characterization, drug, and vaccine development; a comprehensive bioinformatics review.

Masarra M Sakr, Noha S Elsayed, Ghadir S El-Housseiny

Open access · greenAbstract readReview
In one paragraph

Review in Microbial pathogenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Masarra M SakrDepartment of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Organization of African Unity St., 11566, Abbassia, Cairo, Egypt.
Noha S ElsayedDepartment of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Organization of African Unity St., 11566, Abbassia, Cairo, Egypt. Electronic address: noha.yousef@pharm.asu.edu.eg.
Ghadir S El-HousseinyDepartment of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Organization of African Unity St., 11566, Abbassia, Cairo, Egypt.
Ain Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amid the COVID-19 outbreak, several bioinformatic analyses have been conducted on SARS-CoV-2 virus genome. Numerous studies rushed to fill the gap about this novel virus. Comparison with other related sequences, structural predictions of the produced proteins, determination of variations in amino acid residues and depiction of possible drug and vaccine targets have been the focus of scientific research from the beginning of this year. In addition to discussing the viral taxonomy, clinical features, life cycle, and genome organization, this review will focus on the recent updates in genome and viral proteins characterization and potential therapeutic and vaccine candidates developed so far. Comparative studies with related genomes and proteins provide understanding for the viral molecular mechanisms and suggest targets for therapeutics and vaccinology trials to stop the escalation of this new virus. This pandemic, with its resulting social and economic afflictions, will definitely have significant marks on our lives in the following years.

Indexed as

COVID-19Pharmaceutical PreparationsComputational BiologyGenomicsHumansSARS-CoV-2Pharmaceutical PreparationsBioinformaticsCOVID-19GenomeSARS-CoV-2Vaccine

Identifiers

PMID33647446
PMCPMC7910145
OpenAlexW3134471501

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.