bioRxivBioinformaticsPreprint
Harnessing Immunoinformatic for HIV-2: Multi-Epitope Vaccine Design Targeting the env Protein (CAA28914.1)
Muhammad AliiD, Yasrab Arafat, Sheikh Ahmed GulliD, Shah Zainab, Fareeza Anwar, Qanbar AbbasiD
Abstract
A[Formula][s][t]rac[t]O_ST_ABSBackgroundC_ST_ABSHIV-2 is a major threat to human health because of its rising global incidence. As a result, the development of effective immunostimulatory molecules for vaccine design against HIV-2 has garnered increasing interest. ObjectiveThe main objective was to make a multi Targeting epitoptpic vaccine for HIV-2 envelope protein using immunoinformatic approaches. MethodsSequence were retrieved from NCBI. B & T-cell epitopes were predicted with assessments of antigenicity, allergenicity, and cytokine-inducing potential. Physicochemical properties, docking studies, and codon optimization for expression was also performed using different software tools. FindingsThe designed vaccine construct (477 amino acids, molecular weight of 54 kDa) showed a strong antigenicity with VaxiJen score of 0.7146 which was non-allergenic and non-toxic with favorable physicochemical parameters (Mw: [~]53 kDa; pI: 9.89; stable and soluble). The construct demonstrated broad population coverage for MHC-I (West Africa: 69.51%, Pakistan: 78%, Global: 82%) and MHC-II (Global: 99%). Out of 16 peptides analyzed, 7 were predicted as IL-10 inducers 2 as a strong IL-4 inducer, and 2 were IFN-{gamma} inducing epitopes. Structural validation confirmed high-quality folding (96% residues in favored regions; ERRAT score: 84.35). Docking results revealed a strong binding affinity to TLR2 (PDB ID: 2AOZ; energy: -1481.1 kcal/mol). MD simulation confirmed structural stability (RMSD [~]1.37 nm; Rg [~]3.65 nm). Immune simulation predicted robust humoral and cellular responses with sustained antibody production and cytokine activation. Codon optimization is given to a Codon Adaptation Index (CAI) of 0.628 with a guanine (G) and cytosine (C) nucleotides content of 65.48%, suitable for E. coli expression. ConclusionThis vaccine construct is immunogenic, stable, and able to elicit both antibody-mediated immunity and cell-mediated immunity responses. Furthermore, In-vitro or In-Vivo Validations are recommended to verify its effectiveness O_FIG O_LINKSMALLFIG WIDTH=178 HEIGHT=200 SRC="FIGDIR/small/658249v1_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@c3660corg.highwire.dtl.DTLVardef@60cc61org.highwire.dtl.DTLVardef@10a1e87org.highwire.dtl.DTLVardef@15a5aa1_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: proteomics
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Design an efficient multi-epitope peptide vaccine candidate against SARS-CoV-2: An in silico analysis
Z. Yazdani, A. Rafiei, … R. Valadan·bioRxiv·Apr 20, 2020
- Vaccine Elicitation of HIV-1 Neutralizing Antibodies Against Both V2 Apex and Fusion Peptide in Rhesus Macaques
Hongying Duan, Joseph P. Nkolola, … Dan H. Barouch·Cell ReportsPeer-reviewed·Jan 29, 2026
- Structure-based design of hepatitis C virus E2 glycoprotein improves serum binding and cross-neutralization
B. Pierce, Z.-y. Keck, … S. Foung·bioRxiv·Apr 15, 2020
- Mpox Vaccine Design Through Immunoinformatics and Computational Epitope Prediction
Sebastián Rivera-Orellana, José Rubén Ramírez-Iglesias, … Andrés López‐Cortés·bioRxiv·Nov 5, 2024
- Prediction of Multi peptides Vaccination from VP10,VP21, VP51 against Reverse Transcriptase Human immunodeficiency Viruses Using Immuno-informatics Approach
Safa Ahmad Almostafa, Ienas Ibrahim mohmed, … Nadir Musa Khalil Abuzeid·bioRxiv·Dec 16, 2019
- Immuno-informatics approach for multi-epitope vaccine designing against SARS-CoV-2
Souvik Banerjee, Kaustav Majumder, … Bharti Mittal·bioRxiv·Jul 23, 2020