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A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
Published on: March 25, 2014
Structure-based design of a multi-epitope vaccine candidate against marburg virus using immunoinformatics and
Mohamed J Saadh1, Faris Anad Muhammad2, Rafid Jihad Albadr3
1Faculty of Pharmacy, Middle East University, Amman, 11831, Jordan.
Abstract:
The Marburg virus, a close relative of the Ebola virus, is a menacing Filovirus known for its devastating outbreaks in Germany and recent outbreaks in Guinea and Tanzania. This deadly pathogen triggers severe hemorrhagic fever, posing a grave threat to public health and demanding urgent attention from the global medical community. The amino acid sequence and PDB of the Envelope glycoprotein (GP) were extracted from RCSB for use in predicting epitopes (IEDB server). The construction of the multi-epitope vaccine included an adjuvant and linkers (AAY, EAAAK, GPGPG), which were assessed with the ProtParam tool to characterize their physico-chemical properties. Additionally, modeling was carried out with the Robetta server, and the modeled vaccine was docked with Toll-like receptor 4 (TLR4). Finally, immune and molecular dynamic simulations were implemented using the C-ImmSim and GROMACS packages. The final multi-epitope vaccine consists of 211 amino acids, created with 5 CTL and 4 HTL epitopes that were validated and passed assessments for antigenicity, allergenicity, and toxicity. The modeled multi-epitope vaccine was evaluated and demonstrated high model quality. The best molecular docking candidate was selected and evaluated using PDBsum. Subsequently, by assessing RMSD, RMSF, and Gyration, the molecular dynamic simulation revealed considerable binding with TLR4, and the complex remained stable throughout the simulation. Ultimately, the multi-epitope vaccine can stimulate both humoral and cell-mediated immune responses, validated computationally. The overall implication of this investigation shows the potency of the multi-epitope construct as an efficient protective vaccine against the Marburg virus.
Insights
A novel multi-epitope vaccine targeting the Marburg virus was computationally designed. This construct demonstrated potential for stimulating robust immune responses, offering a promising avenue for Marburg virus vaccine development.
Area of Science:
- Virology and immunology
- Vaccine design and development
- Computational biology
Background:
- The Marburg virus, a Filovirus related to Ebola, causes severe hemorrhagic fever with significant public health implications.
- Previous outbreaks highlight the urgent need for effective Marburg virus countermeasures.
- The Envelope glycoprotein (GP) is a key target for vaccine development.
Purpose of the Study:
- To computationally design and evaluate a novel multi-epitope vaccine against the Marburg virus.
- To assess the vaccine's immunogenicity, stability, and binding affinity to Toll-like receptor 4 (TLR4).
- To validate the vaccine's potential for stimulating both humoral and cell-mediated immunity.
Main Methods:
- Extraction of Marburg virus Envelope glycoprotein (GP) sequence and PDB from RCSB.
- Epitope prediction using the IEDB server.
- Multi-epitope vaccine construction incorporating adjuvants and linkers, with physico-chemical property assessment.
- 3D modeling using Robetta server and docking with Toll-like receptor 4 (TLR4).
- Immune simulation (C-ImmSim) and molecular dynamic simulation (GROMACS) for stability and binding analysis.
Main Results:
- A 211-amino acid multi-epitope vaccine comprising 5 CTL and 4 HTL epitopes was designed.
- The vaccine construct passed validation for antigenicity, allergenicity, and toxicity.
- Molecular modeling and docking showed high model quality and favorable binding with TLR4.
- Molecular dynamics simulations confirmed stable binding with TLR4, indicating effective immune stimulation.
Conclusions:
- The computationally designed multi-epitope vaccine is a promising candidate for Marburg virus protection.
- The vaccine construct has the potential to elicit both humoral and cell-mediated immune responses.
- This study validates the efficacy of in silico approaches for developing effective vaccines against deadly viruses like Marburg.
