Non-Coding DNA-Derived Mimotopes of Aβ₄₂ as Novel Candidates for Alzheimer's Peptide Vaccine Design

Alzheimer's disease (AD), the leading cause of dementia, is a progressive neurodegenerative disorder marked by memory loss, cognitive decline, and characteristic neuropathology involving amyloid- (A) plaques and tau tangles.Among emerging therapeutic strategies, A-targeted immunotherapy using monoclonal antibodies or peptide vaccines offers the most promising disease-modifying potential.Mimotopes, short peptides that mimic antigenic epitopes of A, have recently gained attention as safe and effective candidates for vaccine development.In this study, we employed a computational immunoinformatics approach to identify novel A42-mimicking peptides derived from non-coding DNA sequences, representing an unconventional yet rich source of bioactive peptides.A virtual peptide library was generated from intergenic regions of the Escherichia coli genome and screened using B-cell epitope prediction, MHC-binding analysis, and structural similarity modeling to identify potential immunogenic mimotopes.Selected candidates were further evaluated through peptide-antibody docking with A 42 -specific antibody fragments to assess binding affinity and epitope mimicry.Our findings demonstrate a novel computational framework for mining non-coding DNA to identify therapeutic peptide mimotopes.The identified A 42 -like peptides exhibit strong potential as synthetic vaccine candidates for Alzheimer's disease, supporting a new direction in rational vaccine design against neurodegenerative disorders.

Authors

Publication Details

Journal
International Journal of Medical Sciences
Published
2026-03-04
DOI
https://doi.org/10.7150/ijms.127358
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-Coding DNA-Derived Mimotopes of Aβ₄₂ as Novel Candidates for Alzheimer's Peptide Vaccine Design

Rebai Ben Ammar, Biju Vadakkemukadyil Chellappan, Navya Raj, Shidhi P. R et al.
International Journal of Medical Sciences
Alzheimer's disease research and treatments
article

Non-Coding DNA-Derived Mimotopes of Aβ₄₂ as Novel Candidates for Alzheimer's Peptide Vaccine Design

Rebai Ben Ammar, Biju Vadakkemukadyil Chellappan, Navya Raj, Shidhi P. R, Peramaiyan Rajendran
article en

Abstract

Alzheimer's disease (AD), the leading cause of dementia, is a progressive neurodegenerative disorder marked by memory loss, cognitive decline, and characteristic neuropathology involving amyloid- (A) plaques and tau tangles.Among emerging therapeutic strategies, A-targeted immunotherapy using monoclonal antibodies or peptide vaccines offers the most promising disease-modifying potential.Mimotopes, short peptides that mimic antigenic epitopes of A, have recently gained attention as safe and effective candidates for vaccine development.In this study, we employed a computational immunoinformatics approach to identify novel A42-mimicking peptides derived from non-coding DNA sequences, representing an unconventional yet rich source of bioactive peptides.A virtual peptide library was generated from intergenic regions of the Escherichia coli genome and screened using B-cell epitope prediction, MHC-binding analysis, and structural similarity modeling to identify potential immunogenic mimotopes.Selected candidates were further evaluated through peptide-antibody docking with A 42 -specific antibody fragments to assess binding affinity and epitope mimicry.Our findings demonstrate a novel computational framework for mining non-coding DNA to identify therapeutic peptide mimotopes.The identified A 42 -like peptides exhibit strong potential as synthetic vaccine candidates for Alzheimer's disease, supporting a new direction in rational vaccine design against neurodegenerative disorders.

International Journal of Medical SciencesVol. 23(4)
King Faisal University
Zero hunger
Openalex Percentile: Top 30%
Alzheimer's disease research and treatments
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.