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Microscopy-based Assays for High-throughput Screening of Host Factors Involved in Brucella Infection of Hela Cells
Published on: August 5, 2016
Proteome-Wide Screening of Potential Vaccine Targets against Brucella melitensis
Mahnoor Malik1, Saifullah Khan2, Asad Ullah1
1Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan.
Abstract:
The ongoing antibiotic-resistance crisis is becoming a global problem affecting public health. Urgent efforts are required to design novel therapeutics against pathogenic bacterial species. Brucella melitensis is an etiological agent of brucellosis, which mostly affects sheep and goats but several cases have also been reported in cattle, water buffalo, yaks and dogs. Infected animals also represent the major source of infection for humans. Development of safer and effective vaccines for brucellosis remains a priority to support disease control and eradication in animals and to prevent infection to humans. In this research study, we designed an in-silico multi-epitopes vaccine for B. melitensis using computational approaches. The pathogen core proteome was screened for good vaccine candidates using subtractive proteomics, reverse vaccinology and immunoinformatic tools. In total, 10 proteins: catalase; siderophore ABC transporter substrate-binding protein; pyridoxamine 5'-phosphate oxidase; superoxide dismutase; peptidylprolyl isomerase; superoxide dismutase family protein; septation protein A; hypothetical protein; binding-protein-dependent transport systems inner membrane component; and 4-hydroxy-2-oxoheptanedioate aldolase were selected for epitopes prediction. To induce cellular and antibody base immune responses, the vaccine must comprise both B and T-cells epitopes. The epitopes were next screened for antigenicity, allergic nature and water solubility and the probable antigenic, non-allergic, water-soluble and non-toxic nine epitopes were shortlisted for multi-epitopes vaccine construction. The designed vaccine construct comprises 274 amino acid long sequences having a molecular weight of 28.14 kDa and instability index of 27.62. The vaccine construct was further assessed for binding efficacy with immune cell receptors. Docking results revealed that the designed vaccine had good binding potency with selected immune cell receptors. Furthermore, vaccine-MHC-I, vaccine-MHC-II and vaccine-TLR-4 complexes were opted based on a least-binding energy score of -5.48 kcal/mol, 0.64 kcal/mol and -2.69 kcal/mol. Those selected were then energy refined and subjected to simulation studies to understand dynamic movements of the docked complexes. The docking results were further validated through MMPBSA and MMGBSA analyses. The MMPBSA calculated -235.18 kcal/mol, -206.79 kcal/mol, and -215.73 kcal/mol net binding free energy, while MMGBSA estimated -259.48 kcal/mol, -206.79 kcal/mol and -215.73 kcal/mol for TLR-4, MHC-I and MHC-II complexes, respectively. These findings were validated by water-swap and entropy calculations. Overall, the designed vaccine construct can evoke proper immune responses and the construct could be helpful for experimental researchers in formulation of a protective vaccine against the targeted pathogen for both animal and human use.
Insights
This study designed a novel in-silico multi-epitope vaccine for Brucella melitensis using computational methods. The developed vaccine construct shows potential for eliciting robust immune responses against Brucella melitensis, aiding in disease control.
Area of Science:
- Computational vaccinology
- Infectious disease research
- Immunoinformatics
Background:
- The rising antibiotic resistance crisis necessitates novel therapeutics against bacterial pathogens.
- Brucella melitensis causes brucellosis, a zoonotic disease posing risks to both animal and human health.
- Effective vaccines are crucial for controlling and eradicating brucellosis in animal populations and preventing human infections.
Purpose of the Study:
- To design a computational multi-epitope vaccine against Brucella melitensis.
- To identify potential vaccine candidates through subtractive proteomics and reverse vaccinology.
- To predict and screen B-cell and T-cell epitopes for vaccine construction.
Main Methods:
- Subtractive proteomics, reverse vaccinology, and immunoinformatics tools were employed to screen the Brucella melitensis proteome.
- Epitopes were predicted and screened for antigenicity, allergenicity, and solubility.
- Molecular docking and simulation studies were performed to assess binding efficacy with immune cell receptors (MHC-I, MHC-II, TLR-4).
Main Results:
- Ten proteins were selected, and nine suitable epitopes were identified for vaccine construction.
- The designed vaccine construct is 274 amino acids long with a molecular weight of 28.14 kDa.
- Docking and simulation analyses confirmed strong binding affinity of the vaccine construct with immune cell receptors, validated by MMPBSA/MMGBSA and water-swap calculations.
Conclusions:
- The in-silico designed multi-epitope vaccine construct demonstrates potential for inducing effective immune responses against Brucella melitensis.
- This computational approach provides a promising strategy for developing a protective vaccine for both animal and human use.
- The study offers a valuable blueprint for experimental researchers aiming to formulate a novel brucellosis vaccine.

