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Research ArticleOriginal Article
Open Access

Development of a candidate multi-epitope vaccine against Sphingobacterium spiritivorum

Reverse vaccinology and immunoinformatics approach

Mubarak A. Alamri
Saudi Medical Journal June 2023, 44 (6) 544-559; DOI: https://doi.org/10.15537/smj.2023.44.6.20220733
Mubarak A. Alamri
From the Department of Pharmaceutical Chemistry, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia.
MSc, PhD
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  • Figure 1
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    Figure 1

    - The workflow of methodology used in current work.

  • Figure 2
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    Figure 2

    - The present study involves the examination of various aspects related to a vaccine construct, including its 3D crystal structure (A), a refined 3D structure model of the vaccine (B), The refined model’s Z-score is -5.79, which falls within the score range of the residue’s score plot (C), The score plot of Residue by ProSA-web was employed to verify the quality of the local model (D). A ProSA-web validation of the vaccine’s 3D structure (E) An evaluation of the Ramachandran plot for the multi-epitope vaccine construct (F), The number of residues is indicated within brackets. The labeled entities are those that exhibit unfavorable conformations with a score of less than negative three. The utilisation of shading in the analysis of 163 structures at a resolution of 2.0A or higher (G), In conjunction with the properties of residues, reveals a favourable conformation (H).

  • Figure 3
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    Figure 3

    - Validation and optimization of designed candidate chimeric vaccine. A) The docked complex of the vaccine model and the toll-like receptro (TLR)4 immune receptor. (B) Root Mean square deviation (RMSD) and Root Mean square fluctuation (RMSF) of the vaccine with TLR-4. (C) Antibodies responses against chimeric vaccine predicted by C- immune simulation server. (D) Cytokines and different interferon response induce by chimeric vaccine.

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Tables

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    Table 1

    - Displays the antigenic epitopes that have been filtered and predicted for the 4 vaccine proteins that have been prioritized.

    B cell epitopeT cell epitopePercentile scoreMHCPred Score (nM)Antigenicity
    MHCIMHCII
    NAGVNRNDAFNAEKYPDGQITRTNNAGVNRNDAFNAEKY2.11315.920.95
    ELKLAKGLKFRSNFSMTQGFNNFKQFTTRVPEIGKPSNSNKLTLNDKRSSDIKGLKFRSNFSMTQGF2.30.0936.640.64
     NSNKLTLNDKRSSDI1.63511.192.02
    QIFMGNTPTRVTYLAETKRASTDLTWAYLAETKRASTDLTWA260.53261.06
    GFDPEVGMDSYGMDSGRYPGFDPEVGMDSYGMDS432740.182.43
    YTFHREDEKYFFDNIMPDYTGKDAFKLISYTFHREDEKYFFDNI1.70.1967.760.67
    NRRVDRPNEVDIRIFPKYDDAEIIKVGNPALRPQDIRIFPKYDDAEIIK4.61.82.611.33
    MHCPred: Epitope binding’s value prediction, MHCI: Epitopes MHC-I binding prediciton, Allergenicity= non-allergen, toxicity= non-toxin, solubility= noluble
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    Table 2

    - Showcases the antigenicity, allergenicity, solubility, and physicochemical properties of the primary sequence of our multi-epitope-based vaccine construct.

    FeaturesAssessment
    Number of amino acid250
    Molecular weight26496.87
    Chemical formulaC1168H1837N325O363S8
    Theoretical Pi6.6
    Instability index (II)27.13 (stable protein)
    Aliphatic index66.04
    Grand average of hydropathicity (GRAVY)-0.531
    AntigenicityAntigenic
    AllergenicityNon-allergen
    SolubilitySoluble
    Total number (no.) of atoms3701
    No. of -ively charged residues(Asp+Glu) 30
    No. of +ively charged residues(Arg+Lys) 29
    Estimated half-life(Mammalian reticulocytes, in vitro) 30 hours (hrs) (Yeast, in vivo) >20 hrs (Escherichia coli, in vivo) >10 hrs
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    Table 3

    - Estimation of binding energies.

    VariablesVaccine-TLR4 momplex
    Energy componentAverageSDErr. of mean
    VDWAALS-14268.351.36065.1361
    EEL-125777160.949316.0949
    EGB-23027.7128.290812.8291
    ESURF616.78393.49720.3497
    G gas-140045155.542715.5543
    G solv-22410.9127.470512.7471
    TOTAL-162456110.493211.0493
    TLR-4
    VDWAALS-12136.350.20115.0201
    EEL-104629162.670816.2671
    EGB-18516.2136.244413.6244
    ESURF489.85553.29950.3299
    G gas-116765155.975515.5976
    G solv-18026.3135.280613.5281
    TOTAL-13479195.40589.5406
    Chimeric vaccine
    VDWAALS-1902.4419.28181.9282
    EEL-21889.983.99048.399
    EGB-4010.1970.00897.0009
    ESURF156.97941.81440.1814
    G gas-23792.488.43928.8439
    G solv-3853.2169.15636.9156
    TOTAL-27645.641.74664.1747
    Differences (complex –TLR4 – vaccine)
    VDWAALS-249.5888.53860.8539
    EEL750.512466.08366.6084
    EGB-402.31960.93026.093
    ESURF-25.05111.12450.1125
    DELTA G gas500.924566.20586.6206
    DELTA G solv-427.3760.27986.028
    DELTA total-73.44529.80890.9809
    VDWAALS: van der Waals, EEL: electrostatic, EGB: polar solvation energy, ESURF: solvation energy, TLR: toll-like receptor, std Dev: standard deviation, Err: error, delta G (net gas phase energy), delta total (net energy of system), G solv (net solvation energy),
  • ModelGDT-HARMSDMolProbityClash scorePoor rotamersRama favored
    Initial1.0000.0001.87824.40.099.0
    Model 10.98060.2961.54910.80.099.0
    Model 20.97330.3671.3656.01.199.0
    Model 30.98300.3261.52710.20.099.0
    Model 40.97570.3481.4918.41.199.0
    Model 50.97090.3581.4799.00.099.0
  • Solution numberGlobal energyAttractive VdWRepulsive VdWACEHB
    4-16.61-43.1026.4213.33-5.54
    3-14.90-10.022.522.49-2.81
    2-0.65-4.60-4.600.200.00
    9-0.17-0.800.00-0.280.00
    816.43-46.4763.3019.55-7.08
    1026.69-4.410.033.190.00
    647.44-37.1829.1024.23-4.90
    1251.52-57.84417.508.60-11.08
    7315.13-22.02380.1715.20-1.15
    5580.83-48.73801.2410.71-5.45
    VdW: Van der Waals force, ACE: atomic contact energy, HB: hydrogen bond, TLR: toll-like receptor
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Saudi Medical Journal: 44 (6)
Saudi Medical Journal
Vol. 44, Issue 6
1 Jun 2023
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Development of a candidate multi-epitope vaccine against Sphingobacterium spiritivorum
Mubarak A. Alamri
Saudi Medical Journal Jun 2023, 44 (6) 544-559; DOI: 10.15537/smj.2023.44.6.20220733

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Development of a candidate multi-epitope vaccine against Sphingobacterium spiritivorum
Mubarak A. Alamri
Saudi Medical Journal Jun 2023, 44 (6) 544-559; DOI: 10.15537/smj.2023.44.6.20220733
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  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Acknowledgment
    • Appendix 1 - Presents the results of the pan-genome analysis. (A) Depicts a phylogenetic tree, while (B) Illustrates the curves of the pan and core genome, and (C) Displays the frequency distribution of gene families within genes. (D) Illustrates the quantity of newly incorporated genes in each respective genome
    • Appendix 2 - Prediction of models’ quality score by GalaxyWEB
    • Appendix 3 - Quality scores for selected vaccine model. (A) The secondary structure of the vaccine construct. (B) A secondary structural analysis of the vaccine was conducted, which revealed the fluctuations of its structural atoms within a minimal range, indicating the stability of its structure
    • Appendix 4 - Docking results of vaccine construct with TLR4 receptor
    • Appendix 5 -3D model of the 7 predicted conformational B-cell epitopes. The yellow regions are the conformational B-cell epitopes, while the grey regions are the residue remnant. (A) 8 residues with 0.797 score. (B) 7 residues with 0.763 score. (C) 7 residues with 0.663 score. (D) 12 residues with 0.645 score. (E) 8 residues with 0.643 score. (F) 5 residues with 0.551 score. (G) 5 residues with 0.524 score
    • Appendix 6 - Population coverage analysis predicted by immune database server
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Keywords

  • Sphingobacterium spiritivorum
  • chimeric vaccine
  • conformational B-cell epitopes
  • molecular docking
  • binding free energies calculation

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