Evidence map›Paper›PMID 42365117›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Structure-based immunopharmacological design of a multi-epitope vaccine candidate against Naegleria fowleri targeting TLR3: a pan-genomic and molecular dynamics approach.

Rabia Faizan, Muhammad Naveed, Inmaculada Bellido Estevez, Hafiz Muzzammel Rehman, Ayesha Latif, Hafiz Muhammad Hammad, Abdul Rafay Khan, Seham O Alsulami, Maha A Aljumaa, Nantenaina Tombozara

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Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Rabia FaizanDepartment of Pharmacology and Clinical Therapeutics, School of Medicine, University of Malaga, Malaga, 29010, Spain.
Muhammad NaveedDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54000, Pakistan. dr.naveed@ucp.edu.pk.
Inmaculada Bellido EstevezDepartment of Pharmacology and Clinical Therapeutics, School of Medicine, University of Malaga, Malaga, 29010, Spain.
Hafiz Muzzammel RehmanSchool of Biochemistry and Biotechnology, University of the Punjab, Lahore, Pakistan.
Ayesha LatifSchool of Biochemistry and Biotechnology, University of the Punjab, Lahore, Pakistan.
Hafiz Muhammad HammadNational Centre for Bioinformatics, Quaid-I-Azam University Islamabad, Islamabad, Pakistan.
Abdul Rafay KhanSindh Institute of Urology and Transplantation, Karachi, Pakistan.
Seham O AlsulamiDepartment of Biochemistry, Faculty of Sciences, University of Tabuk, Tabuk, 71491, Saudi Arabia.
Maha A AljumaaDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Nantenaina TombozaraInstitut Malgache de Recherches Appliquées (IMRA), Fondation Albert Et Suzanne Rakoto-Ratsimamanga, Avarabohitra Itaosy, PO Box 3833, Antananarivo, Madagascar. nzara89@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naegleria fowleri is a highly lethal free-living protozoan responsible for primary amoebic meningoencephalitis (PAM), a rapidly progressive central nervous system infection with a mortality rate exceeding 95%, for which no licensed vaccine or effective preventive therapy currently exists. The absence of prophylactic strategies demands development of novel immunopharmacological interventions. In this study, a comprehensive pan-genomic and structure-guided immunoinformatics approach was employed to design a multi-epitope vaccine candidate against N. fowleri. Four genomes of N. fowleri were subjected to an integrative pan-genomic-immunoinformatics pipeline involving orthologous clustering, subtractive genomics, and immunological relevance screening. From 1427 predicted membrane proteins, 885 antigenic, non-allergenic, and non-toxic candidates were identified. Epitope prediction yielded 7 B-cell epitopes, 26 MHC class I-restricted CTL epitopes, and 22 MHC class II-restricted HTL epitopes, which were assembled into a multi-epitope vaccine construct with immunostimulatory adjuvants. The resulting 320-amino acid construct demonstrated high antigenicity and global population coverage of 91.75%. Structural validation confirmed 98.9% of residues in favorable Ramachandran regions and an ERRAT quality score of 92.484. Molecular docking with Toll-like receptor 3 (TLR3) revealed a highly stable complex with a weighted energy score of - 1475.4 kcal/mol, featuring 24 hydrogen bonds and 5 salt bridges. Molecular dynamics simulations over 100 ns demonstrated structural stability with low RMSD and RMSF values, indicating dynamic stability and coordinated residue motions. Immune simulations predicted strong humoral and cellular immune responses with sustained antibody levels and memory cell generation. Codon optimization achieved a CAI of 0.99 and 53.4% GC content, supporting heterologous expression in Escherichia coli. This multi-epitope vaccine candidate exhibits strong immunogenic potential, structural stability, and favorable interactions with innate immune receptors, positioning it as a promising candidate for experimental validation against N. fowleri infection.

Indexed as

Central Nervous System Protozoal InfectionsEpitopesNaegleria fowleriProtozoan VaccinesToll-Like Receptor 3AnimalsDrug DesignEpitopes, B-LymphocyteGenomicsHumansImmunoinformaticsMolecular Dynamics SimulationProtein Subunit VaccinesEpitopesEpitopes, B-LymphocyteProtein Subunit VaccinesProtozoan VaccinesToll-Like Receptor 3ImmunoinformaticsMolecular dynamics simulationNaegleria fowleriPan-genome analysisPrimary amoebic meningoencephalitisTLR3

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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.