Evidence map›Paper›PMID 41141598›Full record

ArticleIn silico pharmacology2025

Exploring nonstructural NS5B protein to design a multi-epitope-based vaccine against HCV: immuno-informatics approach.

Nouman Ali, Adeeba Ali, Muhammad Sheraz Yousuf, Arsheen Rehman, Saad Muhammad Islam, Bilal Ilyas, Aamir Ali

Abstract read
In one paragraph

Article in In silico pharmacology, 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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0cells of the map it votes in
0citing papers 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

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.

Nouman AliDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590 Pakistan.
Adeeba AliDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590 Pakistan.
Muhammad Sheraz YousufDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590 Pakistan.
Arsheen RehmanDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590 Pakistan.
Saad Muhammad IslamDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590 Pakistan.
Bilal IlyasDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590 Pakistan.
Aamir AliDepartment, Botany, Faculty of Science and Technology, University of Education Township, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C Virus (HCV) is a significant global health threat that leads to chronic liver disease, cirrhosis, and hepatocellular carcinoma. While antiviral therapies have advanced over the years, they face challenges such as the high cost, drug resistance, and the absence of a prophylactic vaccine. This study focused on developing a new multi-epitope-based vaccine using in-silico methods targeting the conserved NS5B protein of HCV, known for its crucial role in viral replication. Identification and screening of B-cell and T-cell epitopes as highly antigenic, immunogenic, and non-allergenic were performed using immuno-informatics tools. The epitopes were conjugated with adjuvants and linkers (EAAAK, GPGPG, and AAY) to improve immunogenicity and stability. The physicochemical properties, antigenicity, and population coverage of the vaccine construct were evaluated. Molecular docking and dynamics simulations indicated stable and significant interactions with TLRs that ensured robust innate immunity activation. Computational immune simulations also showed potent activation of humoral and cellular immune responses, suggesting that the vaccine could protect across a range of genetically diverse populations. Designed to address the challenge of HCV's variable and highly conserved nature, this vaccine aims to target HCV immune response while minimizing virus escape effectively. The study also highlights the success of computational vaccinology in expediting vaccine development in a time and cost-efficient manner. The proposed vaccine construct shows significant potential, and further studies are warranted to assess its immunogenic properties, safety, and efficacy. Comparative molecular dynamics simulations of the apo-receptor, vaccine construct, and their complex revealed that binding induces structural stabilization and dampens flexibility at key interface residues. These results validate the docking predictions and underscore the robustness of the designed vaccine-TLR5 interaction. This study generates further understanding toward the goal of developing a broad prophylactic strategy against HCV that is readily available and potentially amenable to future clinical use, offering hope in the fight against HCV. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-025-00448-9.

Indexed as

Hepatitis C virus (HCV)ImmunogenicityMolecular dockingMulti-epitope-based vaccine

Identifiers

PMID41141598
PMCPMC12546166

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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.