Evidence map›Paper›PMID 32335161›Full record

ArticleJournal of immunological methods

In the search of potential epitopes for Wuhan seafood market pneumonia virus using high order nullomers.

Daniele Santoni, Davide Vergni

Open access · greenAbstract read
In one paragraph

Article in Journal of immunological methods. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review
  2. Article
  3. Peptides for Vaccine Development.ACS applied bio materials · 2022
    Review
  4. Article
  5. Review
  6. Review
  7. 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 at 1 institution in 1 country.

Daniele SantoniInstitute for System Analysis and Computer Science "Antonio Ruberti", National Research Council of Italy, Via dei Taurini 19, 00185 Rome, Italy. Electronic address: daniele.santoni@iasi.cnr.it.
Davide VergniInstitute for applied mathematics "Mauro Picone", National Research Council of Italy, Via dei Taurini 19, 00185 Rome, Italy.
National Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alarms periodically emerge for viral pneumonia infections due to coronavirus. In all cases, these are zoonoses passing the barrier between species and infect humans. The legitimate concern of the international community is due to the fact that the new identified coronavirus, named SARS-CoV-2 (previously called 2019-nCoV), has a quite high mortality rate, around 2%, and a strong ability to spread, with an estimated reproduction number higher than 2. Even though all countries are doing their utmost to stop the pandemic, the only reliable solution to tackle the infection is the rapid development of a vaccine. For this purpose, the means of bioinformatics, applied in the context of reverse-vaccinology paradigm, can be of fundamental help to select the most promising peptides able to trigger an effective immune response. In this short report, using the concept of nullomer and introducing a distance from human self, we provide a list of peptides that could deserve experimental investigation in the view of a potential vaccine for SARS-CoV-2.

Indexed as

Computational BiologyBetacoronavirusCoronavirus InfectionsCOVID-19COVID-19 VaccinesEpitopesGenes, MHC Class IHumansPandemicsPeptidesPneumonia, ViralSARS-CoV-2SoftwareViral ProteinsViral VaccinesCOVID-19 VaccinesEpitopesPeptidesViral ProteinsViral VaccinesImmunoinformaticsNullomersPeptide-HLASARS-CoV-2Self/Non-SelfViral genomes

Identifiers

PMID32335161
PMCPMC7179506
OpenAlexW3017630886

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.