Evidence map›Paper›PMID 40463364›Full record

ArticleFrontiers in immunology2025

An integrated mutation-based immunoinformatic approach incorporating variability in epitopes: a study based on HIV subtype C.

Saurav Kumar Mishra, Neeraj Kumar, Md Harun Or Rashid, Sharifa Sultana, Turki M Dawoud, Mohammed Bourhia, John J Georrge

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. 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
–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

15 citing papers in PubMed.

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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

7 authors.

Saurav Kumar MishraDepartment of Bioinformatics, University of North Bengal, Darjeeling, West Bengal, India.
Neeraj KumarDepartment of Pharmaceutical Chemistry, Bhupal Nobles' College of Pharmacy, Udaipur, Rajasthan, India.
Md Harun Or RashidSchool of Engineering, Macquarie University, Sydney, NSW, Australia.
Sharifa SultanaComputational Biology Research Laboratory, Department of Pharmacy, Faculty of Health and Life Sciences, Daffodil International University, Dhaka, Bangladesh.
Turki M DawoudDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Mohammed BourhiaDepartment of Chemistry and Biochemistry, Faculty of Medicine and Pharmacy, Ibn Zohr University, Laayoune, Morocco.
John J GeorrgeDepartment of Bioinformatics, University of North Bengal, Darjeeling, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, HIV (human immunodeficiency virus) infection is one of the leading complications in public health and causes acquired immunodeficiency syndrome (AIDS), especially in the African region. No specific vaccine is available to combat this, with multi-strain variability being one of the hurdles. In this investigation, we employed variability in the epitope of the HIV subtype C targets to introduce mutations and construct an epitope-based vaccine. Four targets were examined to predict the B and T cells (major histocompatibility complex class I and II). Among the predicted epitopes, immunodominant epitopes were selected and were mapped with the identified variable amino acid to incorporate mutation. These selected and mutated epitopes were used for the non-mutated and mutated vaccine construction, considering linker for fusion and adjuvant to improve the activity. The vaccine's structure was modeled and examined to validate its structural quality, and a high population coverage was also found. The docking investigation of the non-mutated and mutated vaccine with Toll-like receptor 3 shows remarkable activity followed by strong binding affinity, and the simulation of over 100 ns revealed the constancy of the complex system. The immune response revealed its strong effectiveness by generating multiple immunoglobulins followed by the time step of infection, and further,

Indexed as

AIDS VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHIV-1HIV InfectionsMutationComputational BiologyHumansImmunodominant EpitopesMolecular Docking SimulationAIDS VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteImmunodominant EpitopesepitopeHIVmutationsimulationTLR3vaccine

Identifiers

PMID40463364
PMCPMC12129944

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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.