Response Comment on “A New Immunogenic Structure of Polyepitopic Fusion against Leishmania major: In Silico Study”
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Abstract
Not Abstract. No Abstract.
1. Basmenj ER, Arastonejad M, Mamizadeh M, et al. Engineering and design of promising T-cell-based multi-epitope vaccine candidates against leishmaniasis. Sci Rep. 2023; 13(1):19421.
2. Naveed M, Makhdoom SI, Ali U, et al. Immunoinformatics approach to design multi-epitope-based vaccine against machupo virus taking viral nucleocapsid as a potential candidate. Vaccines (Basel). 2022; 10(10):1732.
3. Naveed M, Tehreem S, Arshad S, et al. Design of a novel multiple epitope-based vaccine: An immunoinformatics approach to combat SARS-CoV-2 strains. J Infectc Public Health. 2021; 14(7):938-46.
4. Atapour A, Ghalamfarsa F, Naderi S, Hatam G. Designing of a novel fusion protein vaccine candidate against human visceral leishmaniasis (VL) using immunoinformatics and structural approaches. Int J Pept Res Ther. 2021; 27(3):1885-98.
5. Saha S, Vashishtha S, Kundu B, Ghosh M. In-silico design of an immunoinformatics based multi-epitope vaccine against Leishmania donovani. BMC Bioinformatics. 2022; 23(1):319.
6. Shams M, Nourmohammadi H, Basati G, Adhami G, Majidiani H, Azizi E. Leishmanolysin gp63: Bioinformatics evidences of immunogenic epitopes in Leishmania major for enhanced vaccine design against zoonotic cutaneous leishmaniasis. Inform in Med Unlocked. 2021; 24:100626.
7. Aiman S, Ahmad A, Khan AA, et al. Vaccinomics-based next-generation multi-epitope chimeric vaccine models prediction against Leishmania tropica-a hierarchical subtractive proteomics and imm-unoinformatics approach. Front Immunol. 2023; 14:1259612.
8. Margaroni M, Agallou M, Tsanaktsidou E, Kammona O, Kiparissides C, Karagouni E. Immunoinformatics approach to design a multi-epitope nanovaccine against Leishmania parasite: elicitation of cellular immune responses. Vaccines. 2023; 11(2):304.
2. Naveed M, Makhdoom SI, Ali U, et al. Immunoinformatics approach to design multi-epitope-based vaccine against machupo virus taking viral nucleocapsid as a potential candidate. Vaccines (Basel). 2022; 10(10):1732.
3. Naveed M, Tehreem S, Arshad S, et al. Design of a novel multiple epitope-based vaccine: An immunoinformatics approach to combat SARS-CoV-2 strains. J Infectc Public Health. 2021; 14(7):938-46.
4. Atapour A, Ghalamfarsa F, Naderi S, Hatam G. Designing of a novel fusion protein vaccine candidate against human visceral leishmaniasis (VL) using immunoinformatics and structural approaches. Int J Pept Res Ther. 2021; 27(3):1885-98.
5. Saha S, Vashishtha S, Kundu B, Ghosh M. In-silico design of an immunoinformatics based multi-epitope vaccine against Leishmania donovani. BMC Bioinformatics. 2022; 23(1):319.
6. Shams M, Nourmohammadi H, Basati G, Adhami G, Majidiani H, Azizi E. Leishmanolysin gp63: Bioinformatics evidences of immunogenic epitopes in Leishmania major for enhanced vaccine design against zoonotic cutaneous leishmaniasis. Inform in Med Unlocked. 2021; 24:100626.
7. Aiman S, Ahmad A, Khan AA, et al. Vaccinomics-based next-generation multi-epitope chimeric vaccine models prediction against Leishmania tropica-a hierarchical subtractive proteomics and imm-unoinformatics approach. Front Immunol. 2023; 14:1259612.
8. Margaroni M, Agallou M, Tsanaktsidou E, Kammona O, Kiparissides C, Karagouni E. Immunoinformatics approach to design a multi-epitope nanovaccine against Leishmania parasite: elicitation of cellular immune responses. Vaccines. 2023; 11(2):304.
| Files | ||
| Issue | Vol 19 No 4 (2024) | |
| Section | Letter to the Editor | |
| DOI | https://doi.org/10.18502/ijpa.v19i4.17176 | |
| Keywords | ||
| No keywords | ||
| Rights and permissions | |
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Pirmoradi S, Darvish Khadem M, Monjezi Z, Bahrami S, O. Nzelu C. Response Comment on “A New Immunogenic Structure of Polyepitopic Fusion against Leishmania major: In Silico Study”. Iran J Parasitol. 2024;19(4):517-519.
