Evidence map›Paper›PMID 32209231›Full record

ArticleComputers in biology and medicine2020

Computers and viral diseases. Preliminary bioinformatics studies on the design of a synthetic vaccine and a preventative peptidomimetic antagonist against the SARS-CoV-2 (2019-nCoV, COVID-19) coronavirus.

B Robson

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 1 pooled it
17.7field-weighted citation impact, top 1% 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

96 citing papers in PubMed, 1 synthesis or guideline pooled it, 233 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. A potential allosteric inhibitor of SARS-CoV-2 main protease (MFrontiers in molecular biosciences · 2024
    Article
  5. Julia for biologists.Nature methods · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Journal of molecular structure · 2022
    Article
  11. Article
  12. Peptides for Vaccine Development.ACS applied bio materials · 2022
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review

36 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 2 countries.

B RobsonIngine Inc., Cleveland, Ohio, USA; The Dirac Foundation, Oxfordshire, UK. Electronic address: barryrobson@ingine.com.
Ingine (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper concerns study of the genome of the Wuhan Seafood Market isolate believed to represent the causative agent of the disease COVID-19. This is to find a short section or sections of viral protein sequence suitable for preliminary design proposal for a peptide synthetic vaccine and a peptidomimetic therapeutic, and to explore some design possibilities. The project was originally directed towards a use case for the Q-UEL language and its implementation in a knowledge management and automated inference system for medicine called the BioIngine, but focus here remains mostly on the virus itself. However, using Q-UEL systems to access relevant and emerging literature, and to interact with standard publically available bioinformatics tools on the Internet, did help quickly identify sequences of amino acids that are well conserved across many coronaviruses including 2019-nCoV. KRSFIEDLLFNKV was found to be particularly well conserved in this study and corresponds to the region around one of the known cleavage sites of the SARS virus that are believed to be required for virus activation for cell entry. This sequence motif and surrounding variations formed the basis for proposing a specific synthetic vaccine epitope and peptidomimetic agent. The work can, nonetheless, be described in traditional bioinformatics terms, and readily reproduced by others, albeit with the caveat that new data and research into 2019-nCoV is emerging and evolving at an explosive pace. Preliminary studies using molecular modeling and docking, and in that context the potential value of certain known herbal extracts, are also described.

Indexed as

Computational BiologyViral VaccinesAmino Acid SequenceAnimalsBetacoronavirusComputer SimulationCoronavirusCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentCOVID-19 VaccinesDrug DesignEpitopesGenome, ViralHumansModels, MolecularCOVID-19 VaccinesEpitopesPeptidomimeticsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vaccines, SyntheticViral Vaccines2019-nCoV coronavirusAutomatic browserBioinformaticsPeptidomimeticQ-UEL languageRetroinversoSynthetic vaccineWuhan seafood market coronavirus

Identifiers

PMID32209231
PMCPMC7094376
OpenAlexW3008362582

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.