Evidence map›Paper›PMID 42701709›Full record

ArticleBioinformation2026

Multi-epitope design against emerging nipah virus towards peptide vaccine development.

Motukuri Naveen Kumar, Dokka Muni Kumar, Bharathi B V N V, Vamseedhar Annam, Aarthi Pradhan, Shaik Rajiya Sulthana, Yashasvi Singam

Abstract read
In one paragraph

Article in Bioinformation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Motukuri Naveen KumarDepartment of Life Sciences, School of Allied and Healthcare Sciences, Malla Reddy University, Hyderabad, Telangana, India.
Dokka Muni KumarDepartment of Life Sciences, School of Allied and Healthcare Sciences, Malla Reddy University, Hyderabad, Telangana, India.
Bharathi B V N VDepartment of Life Sciences, School of Allied and Healthcare Sciences, Malla Reddy University, Hyderabad, Telangana, India.
Vamseedhar AnnamDepartment of Pathology, Sapthagiri Institute of Medical Sciences and Research Center, Bangalore, India.
Aarthi PradhanDepartment of Microbiology, Naran Lala College of Professional and Applied Sciences, Veer Narmad South Gujarat University, Surat, Gujarat, India.
Shaik Rajiya SulthanaDepartment of Life Sciences, School of Allied and Healthcare Sciences, Malla Reddy University, Hyderabad, Telangana, India.
Yashasvi SingamDepartment of Life Sciences, School of Allied and Healthcare Sciences, Malla Reddy University, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of an approved vaccine against Nipah virus (NiV), a highly fatal zoonotic pathogen causing severe neurological and respiratory disease, remains a major global health challenge. Therefore, it is of interest to design a multi-epitope vaccine targeting the NiV phosphoprotein (UniProt ID: Q9IK91). Conserved B-cell, cytotoxic T-lymphocyte (CTL) and helper T-lymphocyte (HTL) epitopes were identified and selected based on antigenicity, immunogenicity and safety. The resulting vaccine construct was evaluated through structural modeling, TLR4 docking, codon optimization and immune simulation analyses. Thus, data shows the favorable stability, strong receptor interaction, efficient expression potential and the ability to elicit robust humoral and cellular immune responses.

Indexed as

immune simulationimmunoinformaticsin silico analysismulti-epitope vaccineNipah virus (NiV)phosphoproteinreverse vaccinology

Identifiers

PMID42701709
PMCPMC13545875

What OpenQuestion holds

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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.