Evidence map›Paper›PMID 35386432›Full record

ArticleCurrent genomics2021

Taruna Mohinani, Aditya Saxena, Shoor Vir Singh

Open access · greenAbstract read
In one paragraph

Article in Current genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. MERITS: a web-based integratedBioinformatics advances · 2024
    Article
  3. Article
  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.

Taruna MohinaniDepartment of Biotechnology, Institute of Applied Sciences & Humanities, GLA University, Mathura (U.P.), India.
Aditya SaxenaDepartment of Computer Engineering & Applications, Institute of Engineering & Technology, GLA University, Mathura (U.P.), India.
Shoor Vir SinghDepartment of Biotechnology, Institute of Applied Sciences & Humanities, GLA University, Mathura (U.P.), India.
GLA University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Objective: This study aimed to investigate the vaccine potential of virulence proteins of Methods: Chromosome encoded virulence proteins of Results: Selected virulence proteins were predicted with B cell and T cell epitopes. Some of the selected proteins were found to be already reported as antigenic in other mycobacteria. Some of the predicted epitopes also had similarities with experimentally identified epitopes of Conclusion: In-silico approach used for the vaccine candidate identification predicted some virulence proteins that could be proved important in future vaccination strategies against this chronic disease. Predicted epitopes require further experimental validation for their potential use as peptide vaccines.

Indexed as

epitopein Silico analysisMycobacterium ulceransvaccine designvaccine potentialvirulence protein

Identifiers

PMID35386432
PMCPMC8905639
OpenAlexW3217201294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.