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5mRNA VaccinesComputational vaccine candidate

Ebola — Multi-Epitope mRNA Vaccine Candidate

Research ownership & attribution: Rami M. Alkhaleeli — Alkhaleeli BioAI LLC

Scientific Concept

Ebola virus (Zaire ebolavirus) infection is driven by key viral antigens: the glycoprotein (GP), nucleoprotein (NP) and matrix protein (VP40). This design targets multiple Ebola antigens simultaneously: immunogenic B-cell, CTL and helper T-cell epitopes are predicted from GP, NP and VP40, combined with suitable linkers and adjuvant sequences into a single multi-epitope mRNA construct, formulated for lipid nanoparticle delivery. The strategy aims at broad cellular immune recognition of several viral proteins rather than a single antigen.

Scientific Diagram

Ebola — Multi-Epitope mRNA Vaccine Candidate — scientific infographic

Original uploaded scientific infographic — use the Enlarge button for a full-size view.

Design Process

  1. 1

    Antigen selection — target key Ebola virus antigens: GP (glycoprotein), NP (nucleoprotein) and VP40 (matrix protein).

  2. 2

    Epitope prediction — identify immunogenic B-cell, CTL and helper T-cell epitopes from GP, NP and VP40.

  3. 3

    Multi-epitope construct design — combine selected epitopes with suitable linkers (e.g., GPGPG, AAY) and adjuvant sequences into one construct with 5′ UTR and 3′ UTR.

  4. 4

    mRNA vaccine formulation — conceptually synthesize the multi-epitope mRNA and formulate it in lipid nanoparticles (LNPs).

  5. 5

    Immune activation modeling — model CD8+ T-cell (kill infected cells) and CD4+ T-cell (support durable immune response) activation against Ebola antigens.

Proposed Biological Mechanism

  1. 1

    The multi-epitope mRNA, delivered in an LNP, is translated by host antigen-presenting cells.

  2. 2

    Ebola GP, NP and VP40 epitopes are processed and presented via MHC-I and MHC-II pathways.

  3. 3

    CD8+ T cells are modeled to recognize MHC-I presented epitopes and kill infected cells (proposed cytotoxic response).

  4. 4

    CD4+ T cells are modeled to recognize MHC-II presented epitopes and support a durable immune response (proposed helper response).

  5. 5

    The concept is a pre-exposure immune priming design with potential broad antiviral targeting — computational only, not a proven treatment or approved vaccine.

All steps describe intended, modeled or proposed behavior — no effect above is experimentally proven or clinically demonstrated.

Mathematical Analysis

MHC class I epitopes

8 · IC50 15–40 nM

Eight predicted strong binders (all classified strong) selected from GP, NP and VP40.

MHC class II epitopes

6 · IC50 120–180 nM

Six predicted intermediate binders.

Estimated global HLA population coverage

82.5%

IEDB-principle estimate of the share of people predicted to present at least one epitope. It is not a measure of vaccine protection.

Construct size

233 aa · 699 nt CDS

Multi-epitope construct: tPA signal peptide, AAY-linked MHC-I block, GGGGS separator, GPGPG-linked MHC-II block.

Source proteins

GP 676 · NP 739 · VP40 326 aa

Lengths of the three selected Zaire ebolavirus proteins (genome NC_002549.1).

Predicted HLA population coverage is a computational prediction of epitope presentation — it is not a measure of actual vaccine protection. All values originate from the supplied manuscript materials.

FASTA Sequence Viewer

FASTA — 1 sequence

Multi-epitope protein sequence as printed in the manuscript ("corrected" version). The complete mRNA sequence is not printed in the manuscript. Note: the manuscript states 233 aa, but the printed sequence counts 219 characters, so the author should confirm the final sequence.

> Ebola_multi_epitope_protein (tPA signal + MHC-I block + GGGGS + MHC-II block)

1MDAMKRGLCCVLLLCGAVFVSPFYPIESTFLAAYFFKIVPLLAAYLDPVNKLAAYDSALL
61AAVALPPVYMGLAAYVPHYQVSLAAYLEGLTQYLAAYGLHLYTLGGGGSCGASLKLDDME
121PALGPGPGYLDPVNKLNRKTLQVGPGPGCGASLKLDDMEPALGPGPGLEGLTQYLGPNPH
181LGPGPGALPPVYMGLKQLDLGPGPGDSALLAVMGATEAL

Length: 219 characters

Original Scientific Manuscript

Read-only viewing

The original manuscript PDF is available below for read-only viewing only. Downloading, copying or redistribution is not permitted without written permission from Alkhaleeli BioAI LLC.

© Alkhaleeli BioAI LLC — Read-only

© Alkhaleeli BioAI LLC. All rights reserved. This manuscript is the intellectual property of Alkhaleeli BioAI LLC and is provided for read-only viewing only. Downloading, copying, printing, redistribution, or any other use — in whole or in part — requires prior written permission from Alkhaleeli BioAI LLC.

Scientific Status

Ebola — Computational vaccine candidate

These projects are scientific research designs and computational proof-of-concept studies. They are not approved medical products, experimentally validated cures, or guarantees of therapeutic effectiveness.