Novel multi-epitope vaccine against bovine brucellosis: approach from immunoinformatics to expression

Rahimnahal, Somayyeh; Yousefizadeh, Shahnaz; Mohammadi, Yahya

doi:10.1080/07391102.2023.2188962

Cited by 5 publications

(3 citation statements)

References 76 publications

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“…Rahimnahal et al. developed a multi-epitope vaccine against bovine brucellosis, which is capable of being in interaction with bovine TLR4 and TLR9 ( Rahimnahal et al., 2023 ). Our group found that repetitive extragenic palindromic DNA sequences from Brucella stimulate TLR9 signaling ( Yu et al., 2017 ; Peng et al., 2021 ).…”

Section: Role Of Tlrs In Brucella Infectionmentioning

confidence: 99%

Brucella infection and Toll-like receptors

Yu,

Gu,

Wang

et al. 2024

Front. Cell. Infect. Microbiol.

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Brucella consists of gram-negative bacteria that have the ability to invade and replicate in professional and non-professional phagocytes, and its prolonged persistence in the host leads to brucellosis, a serious zoonosis. Toll-like receptors (TLRs) are the best-known sensors of microorganisms implicated in the regulation of innate and adaptive immunity. In particular, TLRs are transmembrane proteins with a typical structure of an extracellular leucine-rich repeat (LRR) region and an intracellular Toll/interleukin-1 receptor (TIR) domain. In this review, we discuss Brucella infection and the aspects of host immune responses induced by pathogens. Furthermore, we summarize the roles of TLRs in Brucella infection, with substantial emphasis on the molecular insights into its mechanisms of action.

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Section: Role Of Tlrs In Brucella Infectionmentioning

confidence: 99%

Brucella infection and Toll-like receptors

Yu,

Gu,

Wang

et al. 2024

Front. Cell. Infect. Microbiol.

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“…The bioinformatics tools described above were employed to identify immunodominant HTL, CTL, and B-cell epitopes to construct a new candidate MEV for the prevention of LTBI. The immunodominant epitopes of each type were linked by AAY [40,41], GPGPG [42,43], and KK linkers [42,44,45] following previous studies. To enhance the immunogenicity of the MEV, the Toll-like receptor 4 (TLR4) agonist cholera toxin subunit B (CTB), the TLR2 and TLR6-agonist dipalmitoyl-S-glyceryl cysteine (Pam2Cys), and the helper peptide PADRE were inserted into the amino terminus of the MEV, as previously described [14,46,47].…”

Section: Construction Of An Mev Candidate For Ltbi Preventionmentioning

confidence: 99%

Design and development of a multi‐epitope vaccine for the prevention of latent tuberculosis infection

Jiang,

Wang,

Wang

et al. 2023

Medicine Advances

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BackgroundLatent tuberculosis infection (LTBI) often progresses to active tuberculosis, necessitating the development of novel vaccine to prevent LTBI. In this study, we aimed to design a Mycobacterium tuberculosis (M. tuberculosis) vaccine that could elicit a potent immune response to prevent LTBI.MethodsWe used bioinformatics and immunoinformatics techniques to develop a multi‐epitope vaccine (MEV) called C624P. The vaccine contained six cytotoxic T lymphocytes (CTL), two helper T lymphocytes (HTL), and four B‐cell epitopes derived from six antigens associated with LTBI and the Mycobacterium tuberculosis region of difference. We added Toll‐like receptor (TLR) agonists and PADRE peptide to the MEV to enhance its immunogenicity. We then analyzed the C624P vaccine's physical and chemical properties, spatial structure, molecular docking with TLRs, and immunological features.ResultsThe C624P vaccine displayed good antigenicity and immunogenicity scores of 0.901398 and 3.65609, respectively. The vaccine structure was stable, with 42.82% α‐helix content, a Z‐value of −7.84, and a favored Ramachandran plot area of 85.84% after majorization. Molecular docking analysis showed that the C624P vaccine could bind tightly to TLR2 (−1011.0 kcal/mol) and TLR4 (−941.4 kcal/mol). Furthermore, the C624P vaccine effectively stimulated T and B lymphocytes, resulting in high levels of Th1 cytokines such as IFN‐γ and IL‐2.ConclusionsThe C624P vaccine represents a promising MEV for preventing LTBI. The vaccine's good antigenicity, immunogenicity, stability, and ability to activate immune responses suggest its effectiveness in preventing LTBI. Our study demonstrated the utility of bioinformatics and immunoinformatics techniques in designing safe and effective tuberculosis vaccines.

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“…Reverse vaccinology is a recent breakthrough that, in addition to the conventional and laborious vaccine creation approaches, integrates immunogenomics and bioinformatics to quickly generate unique multi-epitope-based subunit vaccines. This approach offers the potential to expedite the vaccine development process [ 15 , 16 ]. Today, there are extensive studies based on the use of bioinformatics and immunoinformatics tools to design new-generation vaccines [ 17 – 23 ].…”

Section: Introductionmentioning

confidence: 99%

A computational approach to design a multiepitope vaccine against H5N1 virus

Dashti,

Raisi,

Pourali

et al. 2024

Virol J

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Since 1997, highly pathogenic avian influenza viruses, such as H5N1, have been recognized as a possible pandemic hazard to men and the poultry business. The rapid rate of mutation of H5N1 viruses makes the whole process of designing vaccines extremely challenging. Here, we used an in silico approach to design a multi-epitope vaccine against H5N1 influenza A virus using hemagglutinin (HA) and neuraminidase (NA) antigens. B-cell epitopes, Cytotoxic T lymphocyte (CTL) and Helper T lymphocyte (HTL) were predicted via IEDB, NetMHC-4 and NetMHCII-2.3 respectively. Two adjuvants consisting of Human β-defensin-3 (HβD-3) along with pan HLA DR-binding epitope (PADRE) have been chosen to induce more immune response. Linkers including KK, AAY, HEYGAEALERAG, GPGPGPG and double EAAAK were utilized to link epitopes and adjuvants. This construct encodes a protein having 350 amino acids and 38.46 kDa molecular weight. Antigenicity of ~ 1, the allergenicity of non-allergen, toxicity of negative and solubility of appropriate were confirmed through Vaxigen, AllerTOP, ToxDL and DeepSoluE, respectively. The 3D structure of H5N1 was refined and validated with a Z-Score of − 0.87 and an overall Ramachandran of 99.7%. Docking analysis showed H5N1 could interact with TLR7 (docking score of − 374.08 and by 4 hydrogen bonds) and TLR8 (docking score of − 414.39 and by 3 hydrogen bonds). Molecular dynamics simulations results showed RMSD and RMSF of 0.25 nm and 0.2 for H5N1-TLR7 as well as RMSD and RMSF of 0.45 nm and 0.4 for H5N1-TLR8 complexes, respectively. Molecular Mechanics Poisson-Boltzmann Surface Area (MM/PBSA) confirmed stability and continuity of interaction between H5N1-TLR7 with the total binding energy of − 29.97 kJ/mol and H5N1-TLR8 with the total binding energy of − 23.9 kJ/mol. Investigating immune response simulation predicted evidence of the ability to stimulate T and B cells of the immunity system that shows the merits of this H5N1 vaccine proposed candidate for clinical trials.

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Novel multi-epitope vaccine against bovine brucellosis: approach from immunoinformatics to expression

Cited by 5 publications

References 76 publications

Brucella infection and Toll-like receptors

Brucella infection and Toll-like receptors

Design and development of a multi‐epitope vaccine for the prevention of latent tuberculosis infection

A computational approach to design a multiepitope vaccine against H5N1 virus

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