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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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
- Footnotes
- References
- Figures & Data
- eLetters
- References
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