TZ1391: a computationally designed circular mRNA multi-epitope vaccine candidate against Mycobacterium tuberculosis via TLR3 immunomodulation

Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a major global health burden due to latent infection, multidrug resistance, and the limited efficacy of the BCG vaccine. To address this challenge, we computationally designed and evaluated a circular mRNA-based multi-epitope vaccine candidate, TZ1391. Five experimentally validated M. tuberculosis antigens (ESAT-6, CFP-10, Ag85B, PPE18, and HspX) were used to predict immunodominant cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), and B-cell epitopes. Three vaccine constructs (MTB-C1, MTB-C2, and MTB-C3) were assembled by integrating 20 CTL, 20 HTL, and 20 B-cell epitopes with appropriate linkers, PADRE sequence, and innate immune adjuvants. Structural modeling using AlphaFold2 and GalaxyRefine confirmed stable, native-like conformations for all constructs, with MTB-C3 showing the highest structural quality (GDT-HA = 0.8782; RMSD = 0.646 Å) and the greatest number of stabilizing disulfide bonds. Molecular docking against TLR3, TLR4, and TLR8 identified two top-performing candidates. MTB-C3 exhibited the strongest interaction with TLR3, achieving the lowest HDock score (− 480.53) and highest confidence score (0.9987), while MTB-C2 showed optimal binding to TLR4 (ClusPro score − 1488.6; confidence 0.9700). Despite favorable TLR4 engagement by MTB-C2, MTB-C3 was prioritized as the lead candidate (TZ1391) due to its superior structural stability, reduced conformational fluctuations during molecular dynamics simulations, and stronger TLR3 binding free energy (ΔG_bind = − 173.25 ± 7.9 kcal/mol). Immune simulations further predicted that TZ1391 elicits a robust Th1-biased response, characterized by sustained IgG production, strong IFN-γ and IL-2 induction, and durable immune memory. Overall, the strong TLR3-mediated interaction, combined with enhanced structural stability and favorable immunogenic profiles, establishes TZ1391 as a promising multi-epitope vaccine candidate for further experimental validation against tuberculosis.

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Journal
BMC Immunology
Published
2026-01-02
DOI
https://doi.org/10.1186/s12865-025-00795-4
Primary Topic
vaccines and immunoinformatics approaches
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article
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article

TZ1391: a computationally designed circular mRNA multi-epitope vaccine candidate against Mycobacterium tuberculosis via TLR3 immunomodulation

Aliya Baiduissenova, Vipin Kumar Mishra, Aigul Utegenova, Abdulaziz Alamri et al.
BMC Immunology
vaccines and immunoinformatics approaches
article

TZ1391: a computationally designed circular mRNA multi-epitope vaccine candidate against Mycobacterium tuberculosis via TLR3 immunomodulation

Aliya Baiduissenova, Vipin Kumar Mishra, Aigul Utegenova, Abdulaziz Alamri, Aigul Dusmagambetova, Gulsum Askarova, Awais ALi
article en

Abstract

Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a major global health burden due to latent infection, multidrug resistance, and the limited efficacy of the BCG vaccine. To address this challenge, we computationally designed and evaluated a circular mRNA-based multi-epitope vaccine candidate, TZ1391. Five experimentally validated M. tuberculosis antigens (ESAT-6, CFP-10, Ag85B, PPE18, and HspX) were used to predict immunodominant cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), and B-cell epitopes. Three vaccine constructs (MTB-C1, MTB-C2, and MTB-C3) were assembled by integrating 20 CTL, 20 HTL, and 20 B-cell epitopes with appropriate linkers, PADRE sequence, and innate immune adjuvants. Structural modeling using AlphaFold2 and GalaxyRefine confirmed stable, native-like conformations for all constructs, with MTB-C3 showing the highest structural quality (GDT-HA = 0.8782; RMSD = 0.646 Å) and the greatest number of stabilizing disulfide bonds. Molecular docking against TLR3, TLR4, and TLR8 identified two top-performing candidates. MTB-C3 exhibited the strongest interaction with TLR3, achieving the lowest HDock score (− 480.53) and highest confidence score (0.9987), while MTB-C2 showed optimal binding to TLR4 (ClusPro score − 1488.6; confidence 0.9700). Despite favorable TLR4 engagement by MTB-C2, MTB-C3 was prioritized as the lead candidate (TZ1391) due to its superior structural stability, reduced conformational fluctuations during molecular dynamics simulations, and stronger TLR3 binding free energy (ΔG_bind = − 173.25 ± 7.9 kcal/mol). Immune simulations further predicted that TZ1391 elicits a robust Th1-biased response, characterized by sustained IgG production, strong IFN-γ and IL-2 induction, and durable immune memory. Overall, the strong TLR3-mediated interaction, combined with enhanced structural stability and favorable immunogenic profiles, establishes TZ1391 as a promising multi-epitope vaccine candidate for further experimental validation against tuberculosis.

BMC ImmunologyVol. 27(1)
Abdul Wali Khan University Mardan (PK), Al-Farabi Kazakh National University (KZ), King Saud University (SA), Astana Medical University (KZ), Barkatullah University (IN)
Good health and well-being
Openalex Percentile: Top 98%
vaccines and immunoinformatics approaches
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