Evidence map›Paper›PMID 33779881›Full record

ArticleJournal, genetic engineering & biotechnology2021

Computational identification of significant immunogenic epitopes of the putative outer membrane proteins from Mycobacterium tuberculosis.

Shobana Sundar, Lokesh Thangamani, Shanmughavel Piramanayagam

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Multi Epitope-Based Vaccine Design for Protection AgainstAdvances and applications in bioinformatics and chemistry : AABC · 2022
    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.

Shobana SundarComputational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, India. sundar.shobana@gmail.com.ORCID http://orcid.org/0000-0002-8036-1257
Lokesh ThangamaniComputational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, India.
Shanmughavel PiramanayagamComputational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, India.

Funding

Indian Council of Medical Research ISRM/11(13)/2019
6 · The paper itself

Abstract

Novel vaccines are required to effectively combat the epidemic spread of tuberculosis. Using in silico approaches, this study focuses on prediction of potential B cell and T cell binding immunogenic epitopes for 30 putative outer membrane proteins of Mtb. Among these, certain immunodominant epitopes of Rv0172, Rv0295c, Rv1006, Rv2264c, and Rv2525c were found, which are capable of binding B-cell and a maximum number of MHC alleles. The selected immunodominant epitopes were screened for their allergenic and antigenic properties, their percentage identity against the human proteome and their structural properties. Further, the binding efficacy of the immunodominant epitopes of Rv0295c and Rv1006 with HLA-DRB1*04:01 was analyzed using molecular docking and molecular dynamics studies. Hence, the in silico-derived immunogenic peptides (epitopes) could potentially be used for the design of subunit vaccines against tuberculosis.

Indexed as

EpitopesImmunoinformaticsMycobacterium tuberculosisOuter membrane proteins

Identifiers

PMID33779881
PMCPMC8006519

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.