Computational Design of a Novel Multi-Epitope Vaccine Against <i>Aggregatibacter actinomycetemcomitans</i>: A Potential Intervention for Periodontitis and Systemic Diseases

Aggregatibacter actinomycetemcomitans is a key cause of periodontitis in young individuals and is linked to systemic diseases like endocarditis, atherosclerosis, arthritis, brain abscesses and oral cancer. Its virulence and rising antimicrobial resistance highlight the urgent need for new therapeutic strategies. Herein, a multi-epitope vaccine candidate (MVAA) was designed to offer a novel therapeutic approach for mitigating A. actinomycetemcomitans-induced pathogenesis. Adhesins and surface proteins were analyzed to identify immunodominant epitopes– seven CD8[Formula: see text], six CD4[Formula: see text] and eight B-cell epitopes — fused using appropriate linkers (LRMKLPKS, GPGPG and KK), a DC targeting peptide (FYPSYHSTPQRP) and Cholera toxin subunit B as an adjuvant, forming a 531-aa chimeric antigen. The construct was predicted to be soluble, stable, antigenic, nonallergenic and to possess favorable physicochemical properties. Notably, the selected alleles are expected to cover [Formula: see text]96% of the global population. The tertiary structure of MVAA was modeled, refined and validated through computational approaches. The chosen CD8[Formula: see text] and CD4[Formula: see text] cell epitopes were found to possess strong binding affinity for the predicted HLA class I and class II alleles, respectively. Molecular docking revealed high binding affinity for MVAA–TLR2–TLR1 (–208.5 kcal/mol) and MVAA–TLR4–MD2 (–232.2 ± 2.8 kcal/mol) complexes. Molecular dynamics simulation demonstrated the stability and strong binding affinity of MVVA for immune receptors in a biological environment. Additionally, codon adaptation and in silico cloning were performed to ensure the reliability and optimal expression of MVAA in the Escherichia coli system. In silico immune simulations suggested its ability to stimulate innate and adaptive immunity. The designed MVAA could be a promising therapeutic candidate for mitigating the A. actinomycetemcomitans-associated pathologies, and warrants experimental validation studies.

Authors

Institutions

Publication Details

Journal
Journal of Computational Biophysics and Chemistry
Published
2025-05-30
DOI
https://doi.org/10.1142/s2737416525500784
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational Design of a Novel Multi-Epitope Vaccine Against Aggregatibacter actinomycetemcomitans: A Potential Intervention for Periodontitis and Systemic Diseases

Elham Mohammed Khatrawi
Journal of Computational Biophysics and Chemistry
vaccines and immunoinformatics approaches
article

Computational Design of a Novel Multi-Epitope Vaccine Against Aggregatibacter actinomycetemcomitans: A Potential Intervention for Periodontitis and Systemic Diseases

Elham Mohammed Khatrawi
article en

Abstract

Aggregatibacter actinomycetemcomitans is a key cause of periodontitis in young individuals and is linked to systemic diseases like endocarditis, atherosclerosis, arthritis, brain abscesses and oral cancer. Its virulence and rising antimicrobial resistance highlight the urgent need for new therapeutic strategies. Herein, a multi-epitope vaccine candidate (MVAA) was designed to offer a novel therapeutic approach for mitigating A. actinomycetemcomitans-induced pathogenesis. Adhesins and surface proteins were analyzed to identify immunodominant epitopes– seven CD8[Formula: see text], six CD4[Formula: see text] and eight B-cell epitopes — fused using appropriate linkers (LRMKLPKS, GPGPG and KK), a DC targeting peptide (FYPSYHSTPQRP) and Cholera toxin subunit B as an adjuvant, forming a 531-aa chimeric antigen. The construct was predicted to be soluble, stable, antigenic, nonallergenic and to possess favorable physicochemical properties. Notably, the selected alleles are expected to cover [Formula: see text]96% of the global population. The tertiary structure of MVAA was modeled, refined and validated through computational approaches. The chosen CD8[Formula: see text] and CD4[Formula: see text] cell epitopes were found to possess strong binding affinity for the predicted HLA class I and class II alleles, respectively. Molecular docking revealed high binding affinity for MVAA–TLR2–TLR1 (–208.5 kcal/mol) and MVAA–TLR4–MD2 (–232.2 ± 2.8 kcal/mol) complexes. Molecular dynamics simulation demonstrated the stability and strong binding affinity of MVVA for immune receptors in a biological environment. Additionally, codon adaptation and in silico cloning were performed to ensure the reliability and optimal expression of MVAA in the Escherichia coli system. In silico immune simulations suggested its ability to stimulate innate and adaptive immunity. The designed MVAA could be a promising therapeutic candidate for mitigating the A. actinomycetemcomitans-associated pathologies, and warrants experimental validation studies.

Journal of Computational Biophysics and ChemistryVol. 25(06)
Taibah University (SA)
Zero hunger
Openalex Percentile: Top 89%
vaccines and immunoinformatics approaches
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.