Evidence map›Paper›PMID 34918259›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Immunoinformatic Approaches for Vaccine Designing for Pathogens with Unclear Pathogenesis.

Naina Arora, Anand K Keshri, Rimanpreet Kaur, Suraj Singh Rawat, Amit Prasad

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
5.2field-weighted citation impact, top 4% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Biotechnologia · 2025
    Article
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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

5 authors at 1 institution in 1 country.

Naina AroraSchool of Basic Sciences, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India.
Anand K KeshriSchool of Basic Sciences, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India.
Rimanpreet KaurSchool of Basic Sciences, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India.
Suraj Singh RawatSchool of Basic Sciences, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India.
Amit PrasadSchool of Basic Sciences, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India. amitprasad@iitmandi.ac.in.
Indian Institute of Technology Mandi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing a vaccine against a pathogen has been the toughest challenge to fight against any infectious diseases. To overcome this problem, use of artificial neural network with immuno-informatics is emerging as a front runner solution. For a successful designing of a potent vaccine, prediction of T-cell/B-cell epitopes, antigen processing and presentation analysis, antigenic potential analysis of epitopes, usages of linkers, population coverage, codon optimization, allergenicity assessment, toxicity prediction of construct, and finally protein-peptide docking for stability of vaccine are important steps. To achieve this, several bioinformatics software, tools and online web servers have been developed for each application, which have their own advantages and limitations. Scientists must evaluate these parameters and should take the decision to apply more suitable and precise servers for each analysis and prediction based on their accuracy, suitability, and robustness.

Indexed as

VaccinesComputational BiologyEpitopes, B-LymphocyteEpitopes, T-LymphocyteMolecular Docking SimulationVaccines, SubunitEpitopes, B-LymphocyteEpitopes, T-LymphocyteVaccinesVaccines, SubunitB-cell epitopeGenomeImmunoinformaticsIn silico cloningPathogensT-cell epitope

Identifiers

PMID34918259
OpenAlexW4200127862

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.