Evidence map›Paper›PMID 29720698›Full record

ArticleScientific reports2018

Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach.

Kumari Snehkant Lata, Swapnil Kumar, Vibhisha Vaghasia, Priyanka Sharma, Shivarudrappa B Bhairappanvar, Subhash Soni, Jayashankar Das

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 54 citations in OpenAlex.

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  13. A NovelFrontiers in cellular and infection microbiology · 2021
    Article
  14. Designing a novel mRNA vaccine against SARS-CoV-2: An immunoinformatics approach.International journal of biological macromolecules · 2020
    Article
  15. Characterization of a Novel Peptide from PathogenicPathogens (Basel, Switzerland) · 2020
    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

7 authors at 1 institution in 1 country.

Kumari Snehkant LataGujarat Institute of Bioinformatics, Gujarat State Biotechnology Mission, Department of Science & Technology, Government of Gujarat, Gandhinagar, 382011, India.
Swapnil KumarGujarat Institute of Bioinformatics, Gujarat State Biotechnology Mission, Department of Science & Technology, Government of Gujarat, Gandhinagar, 382011, India.ORCID 0000-0002-2433-1678
Vibhisha VaghasiaGujarat Institute of Bioinformatics, Gujarat State Biotechnology Mission, Department of Science & Technology, Government of Gujarat, Gandhinagar, 382011, India.
Priyanka SharmaGujarat Institute of Bioinformatics, Gujarat State Biotechnology Mission, Department of Science & Technology, Government of Gujarat, Gandhinagar, 382011, India.
Shivarudrappa B BhairappanvarGujarat Institute of Bioinformatics, Gujarat State Biotechnology Mission, Department of Science & Technology, Government of Gujarat, Gandhinagar, 382011, India.
Subhash SoniGujarat State Biotechnology Mission, Department of Science & Technology, Government of Gujarat, Gandhinagar, 382011, India.
Jayashankar DasGujarat State Biotechnology Mission, Department of Science & Technology, Government of Gujarat, Gandhinagar, 382011, India. jayshankardas@gmail.com.ORCID 0000-0002-7131-757X
Government of Gujarat · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptospirosis is the most widespread zoonotic disease, estimated to cause severe infection in more than one million people each year, particularly in developing countries of tropical areas. Several factors such as variable and nonspecific clinical manifestation, existence of large number of serovars and asymptomatic hosts spreading infection, poor sanitation and lack of an effective vaccine make prophylaxis difficult. Consequently, there is an urgent need to develop an effective vaccine to halt its spread all over the world. In this study, an immunoinformatics approach was employed to identify the most vital and effective immunogenic protein from the proteome of Leptospira interrogans serovar Copenhageni strain L1-130 that may be suitable to stimulate a significant immune response aiding in the development of peptide vaccine against leptospirosis. Both B-cell and T-cell (Helper T-lymphocyte (HTL) and cytotoxic T lymphocyte (CTL)) epitopes were predicted for the conserved and most immunogenic outer membrane lipoprotein. Further, the binding interaction of CTL epitopes with Major Histocompatibility Complex class I (MHC-I) was evaluated using docking techniques. A Molecular Dynamics Simulation study was also performed to evaluate the stability of the resulting epitope-MHC-I complexes. Overall, this study provides novel vaccine candidates and may prompt further development of vaccines against leptospirosis.

Indexed as

Antigens, BacterialBacterial VaccinesComputational BiologyProteomeProteomicsAmino Acid SequenceBacterial ProteinsCross ReactionsEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansLeptospiraLeptospirosisModels, MolecularProtein ConformationStructure-Activity RelationshipAntigens, BacterialBacterial ProteinsBacterial VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteProteomeVaccines, Subunit

Identifiers

PMID29720698
PMCPMC5932004
OpenAlexW2801555143

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.