Evidence map›Paper›PMID 41225176›Full record

ArticleScientific reports2025

Subtractive proteomic analysis to identify highly antigenic proteins and reverse vaccinology based novel vaccine development against Haemophillius parainfluenzae.

Abbas Ahmad, Jun Zhao, Sehrish Kakakhel, Salman Ali Khan, Sara Aiman, Abdul Malik, Azmat Ali Khan, Sabiha Fatima, Abdullah K Alshememry, Zaheer Ul-Haq and 1 more

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Abbas Ahmad *Department of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Khyber Pakhtunkhwa, Pakistan.
Jun ZhaoLiaobu Hospital of Dongguan City, Dongguan, China.
Sehrish Kakakhel *Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, KP, 23200, Pakistan.
Salman Ali KhanDr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
Sara AimanLiaobu Hospital of Dongguan City, Dongguan, China. sarabioinfo45@gmail.com.
Abdul MalikDepartment of Pharmaceutics, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia.
Azmat Ali KhanPharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia.
Sabiha FatimaDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, King Saud University, 12371, Riyadh, Saudi Arabia.
Abdullah K AlshememryDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Zaheer Ul-HaqDr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
Kaisong HuangLiaobu Hospital of Dongguan City, Dongguan, China. kaisong@gdmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haemophillius parainfluenzae (H. parainfluenzae) is increasingly involved in invasive infections disrupting normal skin or mucosal barriers, specifically in immunocompromised individuals. No specific therapeutics or licensed vaccines are available for H. parainfluenzae infections. In the present study, the genome-scan vaccinomics analysis ranked three potential vaccine candidate proteins based on high immunogenic parameters, which were further used to prioritize lead B- and T-cell epitopes. The top-ranked highly immunogenic epitopes were conjugated using suitable linkers (KK, AAY, and GPGPG) and adjuvant (beta-defensin 3) sequences to engineer a potential chimeric vaccine construct. The immunological and physiochemical properties of the designed H. parainfluenzae vaccine exhibited high immunogenicity with an antigenicity score of 0.8688, structural and thermodynamic stability, and significant solubility. The tertiary structural analysis revealed a high-quality and stable 3D structure with > 89% of residues in the favored region of the Ramachandran plot and a Z-score of -4.45. The molecular docking analysis and molecular dynamic simulation studies revealed robust and stable binding interaction between the H. parainfluenzae vaccine and the TLR4 immune receptor. Immune simulation analysis revealed that the H. parainfluenzae vaccine had the potential to trigger both innate and adaptive immune responses in the host. In-silico restriction cloning demonstrated a significant level of gene expression for the H. parainfluenzae vaccine construct in the bacterial expression vector yielding a recombinant plasmid of 6357 bp. Experimental validation via in vitro and in vivo assays of the predicted vaccine model may prove worthwhile against H. parainfluenzae with improved potency and safety.

Indexed as

Antigens, BacterialBacterial VaccinesProteomicsVaccine DevelopmentAnimalsEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansMiceMolecular Docking SimulationMolecular Dynamics SimulationVaccinologyAntigens, BacterialBacterial VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteImmune simulationImmunoinformaticsInfectionsMolecular dynamic simulationMultiepitope vaccine designReverse vaccinologyVaccine design

Identifiers

PMID41225176
PMCPMC12612167

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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.