Prediction of Brucella omp25 and BLS antigens epitopes and their interaction with MHC molecules in sheep by in silico methods

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Honar Haddadan Hashem; TAHMOORESPUR MOJTABA; SEKHAVATI MOHAMMAD HADI

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Journal: JOURNAL OF AGRICULTURAL BIOTECHNOLOGY Year:2022 | Volume:13 | Issue:4 Page(s): 19-34

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Information Journal Paper

Title

Prediction of Brucella omp25 and BLS antigens epitopes and their interaction with MHC molecules in sheep by in silico methods

Author(s)

Honar Haddadan Hashem | TAHMOORESPUR MOJTABA | SEKHAVATI MOHAMMAD HADI | Issue Writer Certificate

Keywords

Brucellosis

Recombinant vaccine

Molecular dynamic

Epitope

Abstract

Objective Brucellosis is a common disease between humans and livestock that has caused a great deal of damage to the livestock industry in recent years. One way to prevent this disease is to get a vaccine to immunize disease-prone herds. To produce a successful Recombinant vaccine, factors such as: selecting the right adjuvant, selecting the right antigen and the right delivery system are very important. To this end, Epitopes have recently been widely used in clinical research, biomedicine, and the production of Recombinant vaccines. Surface proteins of this bacterium, including BLS and Omp25 proteins, have antigenic properties and play an important role in causing this disease. Due to the lack of effective vaccines, today the need to produce new and effective vaccines is felt more than ever. The aim of this study was to bioinformatically predict the Epitopes of BLS and Omp25 genes of Brucella bacterium in order to introduce a suitable candidate for vaccine production. Materials and Methods For this purpose, SYFFPEITHI, PROPRED and IEDB servers were used to predict Epitopes. Since the three-dimensional structure of the protein is required to investigate the interaction of antigens with cell surface receptors, in the next step, the predicted Epitopes were modeled using the Pepfold 3 server. In addition, in order to evaluate the stability of the predicted structures and to ensure the accuracy of the third structure of the peptides, Molecular dynamics simulations were performed using GROMACS software version 2019 and in a duration of 10 nanoseconds. Then, the three-dimensional structure was obtained by modeling homology method and the docking study of the interaction between Epitopes with sheep MHCII and MHCI cells was performed using Autodock vina software. Results Then, in order to evaluate the stability of the complexes based on the results obtained from molecular docking, complexes with negative values of free binding energy were selected to perform Molecular dynamics simulations. Finally, 8 peptides with better numbers were considered as suggested Epitopes. The results obtained from Molecular dynamics showed that the rmsd values for interleukin and interleukin bound to the polypeptide did not differ much in the two cases, so these results indicate that the activity of interleukin bound to the polypeptope did not change. The rmsf values also indicate the same stability in both proteins. Finally, the obtained results were evaluated in dynamic conditions in GROMACS software. The results of this study showed that in dynamic conditions, 4 predicted Epitopes have high binding power to MHC class 1 and 2 receptors. Conclusions In addition, docking and Molecular dynamics results showed that the polypeptide predicted in this study could be used as a candidate polypeptide in the design of a Recombinant vaccine against Brucellosis. However, to confirm these results, additional and laboratory studies are needed.

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APA: Copy

Honar Haddadan, Hashem, TAHMOORESPUR, MOJTABA, & SEKHAVATI, MOHAMMAD HADI. (2022). Prediction of Brucella omp25 and BLS antigens epitopes and their interaction with MHC molecules in sheep by in silico methods. JOURNAL OF AGRICULTURAL BIOTECHNOLOGY, 13(4 ), 19-34. SID. https://sid.ir/paper/957223/en

Vancouver: Copy

Honar Haddadan Hashem, TAHMOORESPUR MOJTABA, SEKHAVATI MOHAMMAD HADI. Prediction of Brucella omp25 and BLS antigens epitopes and their interaction with MHC molecules in sheep by in silico methods. JOURNAL OF AGRICULTURAL BIOTECHNOLOGY[Internet]. 2022;13(4 ):19-34. Available from: https://sid.ir/paper/957223/en

IEEE: Copy

Hashem Honar Haddadan, MOJTABA TAHMOORESPUR, and MOHAMMAD HADI SEKHAVATI, “Prediction of Brucella omp25 and BLS antigens epitopes and their interaction with MHC molecules in sheep by in silico methods,” JOURNAL OF AGRICULTURAL BIOTECHNOLOGY, vol. 13, no. 4 , pp. 19–34, 2022, [Online]. Available: https://sid.ir/paper/957223/en

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