Advances of computational methods enhance the development of multi-epitope vaccines DOI Creative Commons
Yiwen Wei, Tianyi Qiu,

Yisi Ai

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 26(1)

Published: Nov. 22, 2024

Vaccine development is one of the most promising fields, and multi-epitope vaccine, which does not need laborious culture processes, an attractive alternative to classical vaccines with advantage safety, efficiency. The rapid algorithms accumulation immune data have facilitated advancement computer-aided vaccine design. Here we systemically reviewed in silico resource, for different steps computational design, including immunogen selection, epitope prediction, construction, optimization, evaluation. performance available tools on prediction immunogenicity evaluation was tested compared benchmark datasets. Finally, discuss future research direction construction a multiepitope vaccine.

Language: Английский

Computational design of multi-epitope vaccine against Hepatitis C Virus infection using immunoinformatics techniques DOI Creative Commons
Swaleha Zubair, Fahed Parvaiz, Turki Abualait

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0317520 - e0317520

Published: Jan. 24, 2025

Hepatitis C Virus (HCV) is a blood borne pathogen that affects around 200 million individuals worldwide. Immunizations against the are intended to enhance T-cell responses and have been identified as crucial component of successful antiviral therapy. Nevertheless, attempts mediate clinically relevant anti-HCV activity in people mainly failed, despite vaccines present satisfactory progress. In this study, we used an array immunoinformatics approaches design multiepitope peptide-based vaccine HCV by emphasizing 6 conserved epitopes from viral protein NS5B. The potential were examined for their possible antigenic combination with each other along GPGPG linkers using structural modeling epitope-epitope interaction analysis. An adjuvant (β-defensin) was introduced N-terminus increase immunogenicity construct. Molecular dynamics simulation discloses most stable structure proposed vaccine. designed potentially nature can form significant both receptors TLR2 TLR3. construct also subjected In-Silico cloning which confirmed its expression efficiency vector. findings indicate multi-epitope great preclinical clinical research, important step addressing problems related infection.

Language: Английский

Citations

1
Synthesis of an Adjuvant-Free Single Polypeptide-Based Tuberculosis Subunit Vaccine that Elicits In Vivo Immunogenicity in Rats DOI

Supriya Phogat,

Jyoti Yadav,

Darshna Chaudhary

et al.

Molecular Biotechnology, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Language: Английский

Citations

1
Reverse vaccinology approach for identification of epitopes from E1 protein as peptide vaccine against HCV: A proof of concept DOI
Rohan J. Meshram, Baban Kolte, Rajesh N. Gacche

et al.

Vaccine, Journal Year: 2024, Volume and Issue: 42(24), P. 126106 - 126106

Published: July 8, 2024

Language: Английский

Citations

4
Design and evaluation of potent multiepitope broad spectrum DNA and protein vaccine candidates against Leptospirosis DOI

Anita Chauhan,

Dhwani Jhala,

Ritik Thumar

et al.

Microbial Pathogenesis, Journal Year: 2025, Volume and Issue: unknown, P. 107418 - 107418

Published: Feb. 1, 2025

Language: Английский

Citations

0
Subtractive proteomics and reverse-vaccinology approaches for novel drug targets and designing a chimeric vaccine against Ruminococcus gnavus strain RJX1120 DOI Creative Commons

Hou Dingding,

Sher Muhammad,

Irfan Manzoor

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: April 14, 2025

Mediterraneibacter gnavus , also known as Ruminococcus is a Gram-positive anaerobic bacterium that resides in the human gut microbiota. Notably, this plays dual roles health and disease. On one side it supports nutrient metabolism essential for bodily functions on other contributes to development of Inflammatory Bowel Disease (IBD) gastrointestinal disorders. R. strain RJX1120 an encapsulated has been linked develop IBD. Despite advances made its role homeostasis, limited information available strain-specific virulence factors, metabolic pathways, regulatory mechanisms. The study such aspects crucial make microbiota-targeted therapy understand implications host health. A multi-epitope vaccine against was designed using reverse vaccinology-based subtractive proteomics approach. Among 3,219 proteins identified RJX1120, two critical virulent antigenic proteins, Single-stranded DNA-binding protein SSB (A0A2N5PT08) Cell division ATP-binding FtsE (A0A2N5NK05) were screened potential targets. predicted B-cell T-cell epitopes from these immunological properties antigenicity, allergenicity, solubility, MHC binding affinity, toxicity. Epitopes chosen cross-linked suitable spacers adjuvant vaccine. Structural refinement construct revealed 95.7% amino acid residues located favored regions, indicating high-quality structural model. Molecular docking analysis demonstrated robust interaction between Toll-like receptor 4 (TLR4), with energy −1277.0 kcal/mol. results molecular dynamics simulations further confirmed stability vaccine-receptor complex under physiological conditions. In silico cloning yielded GC content 48% Codon Adaptation Index (CAI) value 1.0, optimal expression system. These indicate possibility candidate prevention -associated diseases. However, experimental validation required confirm immunogenicity protective efficacy.

Language: Английский

Citations

0
Immmunoinformatics-based design of T and B-cell multi-epitope vaccine to combat Borrelia burgdorferi infection DOI
Zhiqiang Chen,

Xun Huang,

Liangyu Zhu

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: 310, P. 143347 - 143347

Published: April 18, 2025

Language: Английский

Citations

0
Development of a multi-neoepitope vaccine targeting non-small cell lung cancer through reverse vaccinology and bioinformatics approaches DOI Creative Commons

Elahe Asadollahi,

Alireza Zomorodipour, Zahra‐Soheila Soheili

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: May 16, 2025

Introduction Lung cancer, predominantly non-small cell lung cancer (NSCLC), is the leading cause of cancer-related mortality worldwide. Among immunotherapeutic strategies, personalized multi-neoepitope vaccine (MNEV) offers a promising approach for managing advanced-stage NSCLC. Methods We used reverse vaccinology, immunoinformatics, and bioinformatics to design an MNEV targeting in murine (LL/2) cells. Whole exome sequencing (WES) RNA data from human mouse NSCLC lines were analyzed select neoantigens, which evaluated their ability stimulate B cells, helper T lymphocytes (HTLs), cytotoxic (CTLs). Molecular docking studies estimated binding affinity neoepitopes with MHC class I, II, B-cell receptors. Suitable linkers selected construct MNEV, 50S L7/L12 ribosomal protein sequence included as adjuvant enhance immune responses. The immunoglobulin kappa (Igκ) chain signal peptide was incorporated improve secretion efficiency. stability final complex TLR3, TLR4, TLR9 confirmed through analysis refinement best-predicted 3D model. To evaluate immunological efficacy female C57BL/6 mice immunized subcutaneously. Immune responses assessed by measuring total IgG levels serum using enzyme-linked immunosorbent assay (ELISA) quantifying IFN-γ granzyme supernatant cultured splenocytes. proportions CD19+ cells CD4+ CD8+ determined flow cytometric analysis. Results In silico evaluations indicated that non-toxic, non-allergenic, stable, exhibiting high-affinity interactions lymphocytes, CTLs, HTLs. Immunization significantly increased levels. Flow cytometry revealed higher percentages Furthermore, splenocytes showed marked increase compared control groups. Discussion This study demonstrates induces robust strong response, highlighting its potential prevention immunotherapy, particularly it provides foundation developing neoepitope-based vaccines against various malignancies, guiding future research development advanced computational methods immunology oncology.

Language: Английский

Citations

0
Immunoinformatics and Reverse Vaccinology Approach for the Identification of Potential Vaccine Candidates against Vandammella animalimors DOI Creative Commons

Ahmad Hasan,

Wadi B. Alonazi, Muhammad Ibrahim

et al.

Microorganisms, Journal Year: 2024, Volume and Issue: 12(7), P. 1270 - 1270

Published: June 22, 2024

Vandammella animalimorsus is a Gram-negative and non-motile bacterium typically transmitted to humans through direct contact with the saliva of infected animals, primarily biting, scratches, or licks on fractured skin. The absence confirmed post-exposure treatment V. highlights imperative for developing an effective vaccine. We intended determine potential vaccine candidates paradigm chimeric against by accessible public data analysis strain utilizing reverse vaccinology. By subtractive genomics, five outer membranes were prioritized as out 2590 proteins. Based instability index transmembrane helices, multidrug transporter protein locus ID A0A2A2AHJ4 was designated candidate construct. Sixteen immunodominant epitopes retrieved Immune Epitope Database. epitope encodes strong binding affinity, nonallergenic properties, non-toxicity, high antigenicity scores, solubility revealing more appropriate linkers adjuvants alongside suitable adjuvant molecule, integrated into enhance immunogenicity, successfully eliciting both adaptive innate immune responses. Moreover, promising physicochemical features, confirmation major receptor TLR-4, molecular dynamics simulations designed have revealed selected candidate. integration computational methods omics has demonstrated significant advantages in discovering novel targets mitigating failure rates during clinical trials recent years.

Language: Английский

Citations

1
Advances of computational methods enhance the development of multi-epitope vaccines DOI Creative Commons
Yiwen Wei, Tianyi Qiu,

Yisi Ai

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 26(1)

Published: Nov. 22, 2024

Vaccine development is one of the most promising fields, and multi-epitope vaccine, which does not need laborious culture processes, an attractive alternative to classical vaccines with advantage safety, efficiency. The rapid algorithms accumulation immune data have facilitated advancement computer-aided vaccine design. Here we systemically reviewed in silico resource, for different steps computational design, including immunogen selection, epitope prediction, construction, optimization, evaluation. performance available tools on prediction immunogenicity evaluation was tested compared benchmark datasets. Finally, discuss future research direction construction a multiepitope vaccine.

Language: Английский

Citations

0