Evidence map›Paper›PMID 37258927›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Immunoinformatics Protocol to Design Multi-Epitope Subunit Vaccines.

Parismita Kalita, Aditya K Padhi, Timir Tripathi

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Parismita KalitaMolecular and Structural Biophysics Laboratory, Department of Biochemistry, North-Eastern Hill University, Shillong, Meghalaya, India.
Aditya K PadhiLaboratory for Computational Biology & Biomolecular Design, School of Biochemical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India.
Timir TripathiMolecular and Structural Biophysics Laboratory, Department of Biochemistry, North-Eastern Hill University, Shillong, Meghalaya, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of scientific technologies, the accessibility of genomic data, computational tools, software, databases, and machine learning, the field of immunoinformatics has emerged as an effective technique for immunologists to design potential vaccines in a short time. A large number of tools and databases are available to screen the genome sequences of parasites/pathogens and identify the highly immunogenic peptides or epitopes that can be used to design effective vaccines. In this chapter, we provide an easy-to-use protocol for the design of multi-epitope-based subunit vaccines. Though the computational immunoinformatics-based approaches have demonstrated their competency in designing potentially effective vaccine candidates quickly, their immunogenicity and safety must be evaluated in laboratory settings before they are tested in clinical trials.

Indexed as

Epitopes, B-LymphocyteEpitopes, T-LymphocyteComputational BiologyMolecular Docking SimulationPeptidesVaccines, SubunitEpitopes, B-LymphocyteEpitopes, T-LymphocytePeptidesVaccines, SubunitAdjuvantsDockingEpitopesImmunoinformaticsIn silico vaccine designMolecular dynamics simulationSubunit vaccine

Identifiers

PMID37258927

What OpenQuestion holds

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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.