Refrences
1. Li M, Zhu Y, Niu C, Xie X, Haimiti G,
Guo W, et al. Design of a multi-epitope vaccine
candidate against Brucella melitensis. Sci Rep.
2022;12(1):1-18.
2. Golshani M, Buozari S. A review of
Brucellosis in Iran: Epidemiology, Risk
Factors, Diagnosis, Control, and Prevention.
Iran Biomed J. 2017;21(6):349-59.
3. Li L, Yin D, Xu K, Liu Y, Song D,
Wang J, et al. A sandwich immunoassay for
brucellosis diagnosis based on immune
magnetic beads and quantum dots. J Pharm
Biomed Anal. 2017;141:79-86.
4. Goodwin ZI, Pascual DW. Brucellosis
vaccines for livestock. Vet Immunol
Immunopathol. 2016;181:51-8.
5. Mahajan V, Banga HS, Filia G, Gupta
MP, Gupta K. Comparison of diagnostic tests
for the detection of bovine brucellosis in the
natural cases of abortion. Iran J Vet Res.
2017;18(3):183-9.
6. Ribeiro PAF, Souza MQ, Dias DS,
Álvares ACM, Nogueira LM, Machado JM, et
al. A custom-designed recombinant
multiepitope protein for human
cytomegalovirus diagnosis. Recent Pat
Biotechnol. 2019;13(4):316-28.
7. Alizadeh H, Dezfulian M, Rahnema M,
Fallah J, Esmaeili D. Protection of BALB/c
mice against pathogenic Brucella abortus and
Brucella melitensis by vaccination with
recombinant Omp16. Iran J Basic Med Sci.
2019;22(11):1302-7.
8. Yin D, Bai Q, Li L, Xu K, Zhang J.
Study on immunogenicity and antigenicity of a
novel brucella multiepitope recombined
protein. Biochem Biophys Res Commun.
2021;540:37-41.
9. Abadi AH, Mahdavi M, Khaledi A,
Esmaeili SA, Esmaeili D, Sahebkar A. Study of
serum bactericidal and splenic activity of TotalOMP- CagA combination from Brucella
abortus and Helicobacter pylori in BALB/c
mouse model. Microb Pathog. 2018;121:100-5.
10. ElTahir Y, Al-Araimi A, R. Nair R,
Autio KJ, Tu H, Leo JC, et al. Binding of
Brucella protein, Bp26, to select extracellular
matrix molecules. BMC Mol Cell Biol.
2019;20(1):55.
11. Saha S, Raghava GPS, editors. BcePred:
Prediction of Continuous B-Cell Epitopes in
Antigenic Sequences Using Physico-chemical
Properties. Artificial Immune Systems; 2004
2004//; Berlin ,Heidelberg: Springer Berlin
Heidelberg.
12. Saha S, Raghava GP. Prediction of
continuous B-cell epitopes in an antigen using
recurrent neural network. Proteins.
2006;65(1):40-8.
13. Jespersen MC, Peters B, Nielsen M,
Marcatili P. BepiPred-2.0: improving sequencebased B-cell epitope prediction using
conformational epitopes. Nucleic Acids Res.
2017;45(W1):W24-w9.
14. Gasteiger E, Hoogland C, Gattiker A,
Duvaud Se, Wilkins MR, Appel RD, et al.
Protein Identification and Analysis Tools on the
ExPASy Server .In: Walker JM, editor. The
Proteomics Protocols Handbook. Totowa, NJ:
Humana Press; 2005. p. 571-607.
15. Magnan CN, Randall A, Baldi P.
SOLpro: accurate sequence-based prediction of
protein solubility. Bioinform.
2009;25(17):2200-7.
16. Ko J, Park H, Seok C. GalaxyTBM:
template-based modeling by building a reliable
core and refining unreliable local regions. MC
Bioinform. 2012;13(1):198.
17. Wiederstein M, Sippl MJ. ProSA-web:
interactive web service for the recognition of
errors in three-dimensional structures of
proteins. Nucleic Acids Res. 2007;35 (Web
Server issue):W407-10.
18. Lovell S, Davis I, Iii W, Bakker P, Word
J, Prisant M, et al. Structure validation by Cα
geometry: ϕ,ψ and Cβ deviation. Proteins:
Struct, Funct, Bioinf. 2003;50:437-50.
19. Colovos C, Yeates TO. Verification of
protein structures: patterns of nonbonded
atomic interactions. Protein Sci.
1993;2(9):1511-9.
20. Rezaei M, Rabbani-Khorasgani M,
Zarkesh-Esfahani SH, Emamzadeh R, Abtahi
H. Prediction of the Omp16 Epitopes for the
development of an Epitope-based vaccine
against Brucellosis. Infect Disord Drug Targets.
2019;19(1):36-45.
21. Fernández LV, Oropeza-Navarro R,
Ortiz-Rico A, Robles-Pesina G, RamírezLezama J, Castañeda-Ramírez A, et al. Brucella
melitensis omp31 mutant is attenuated and
confers protection against virulent Brucella
melitensis challenge in BALB/c mice. 2020.
22. Gupta S, Singh D, Gupta M, Bhatnagar
R. A combined subunit vaccine comprising
BP26, Omp25 and L7/L12 against brucellosis.
Pathog Dis. 2019;77(8):ftaa002.
23. Yao M, Guo X, Wu X, Bai Q, Sun M,
Yin D. Evaluation of the Combined Use of
Major Outer Membrane Proteins in the
Serodiagnosis of Brucellosis. Infect Drug
Resist. 2022:4093-100.
24. Movahedpour A, Mostafavi-Pour Z,
Sarkari B, Taheri-Anganeh M, Nezafat N,
Savardashtaki A, et al. Designing a MultiEpitope Antigen for Serodiagnosis of
Strongyloides stercoralis Based on L3Nie. 01
and IgG Immunoreactive Epitopes. Avicenna J
Med Biotechnol. 2022;14(2):114-24.
25. Vahedi F, Ghasemi Y, Atapour A,
Zomorodian K, Ranjbar M, Monabati A, et al.
B-Cell Epitope Mapping from Eight Antigens
of Candida albicans to Design a Novel
Diagnostic Kit: An Immunoinformatics
Approach. Int J Pept Res Ther. 2022;28(4):110.
26. Yin D, Bai Q, Wu X, Li H, Shao J, Sun
M, et al. A multi-epitope fusion protein-based
p-ELISA method for diagnosing bovine and
goat brucellosis. Front Vet Sci. 2021;8:708008.
27. Yin D, Bai Q, Zhang J, Xu K, Li J. A
novel recombinant multiepitope protein
candidate for the diagnosis of brucellosis: A
pilot study. J Microbiolo Method.
2020;174:105964.
28. Mehrpour K, Mirzaei SA,
Savardashtaki A, Nezafat N, Ghasemi Y.
Designing an HCV diagnostic kit for common
genotypes of the virus in Iran based on
conserved regions of core, NS3-protease,
NS4A/B, and NS5A/B antigens: an in silico
approach. Biol. 2021;76(1):281-96.
29. Ghalamfarsa F, Savardashtaki A, Irajie
C, Emami A, Nezafat N, Ghasemi Y.
Developing Multi-epitope Antigen Construct
from Immunodominant Proteins for Serological
Diagnosis of Chlamydia trachomatis: An In
Silico Approach. Curr Proteomics.
2023;20(2):91-106.
30. Gasteiger E, Hoogland C, Gattiker A,
Duvaud Se, Wilkins MR, Appel RD, et al.
Protein identification and analysis tools on the
ExPASy server: Springer; 2005.
31. Asadi M, Taheri-Anganeh M, Ranjbar
M, Khatami SH, Maleksabet A, Mostafavi-Pour
Z, et al. LYZ2-SH3b as a novel and efficient
enzybiotic against methicillin-resistant
Staphylococcus aureus. BMC Microbiol.
2023;23(1):257.
32. Cheng J, Randall AZ, Sweredoski MJ,
Baldi P. SCRATCH: a protein structure and
structural feature prediction server. Nucleic
Acids Res. 2005;33(suppl_2):W72-W6.
33. Magnan CN, Baldi P. SSpro/ACCpro 5:
almost perfect prediction of protein secondary
structure and relative solvent accessibility using
profiles, machine learning and structural
similarity. Bioinforma. 2014;30(18):2592-7.
34. Sanami S, Nazarian S, Ahmad S, Raeisi
E, Tahir ul Qamar M, Tahmasebian S, et al. In
silico design and immunoinformatics analysis
of a universal multi-epitope vaccine against
monkeypox virus. Plos one.
2023;18(5):e0286224.
35. Sanches RC, Tiwari S, Ferreira LC,
Oliveira FM, Lopes MD, Passos MJ, et al.
Immunoinformatics design of multi-epitope
peptide-based vaccine against Schistosoma
mansoni using transmembrane proteins as a
target. Front Immunol. 2021;12:621706.
36. Antonelli ACB, Almeida VP, de Castro
FOF, Silva JM, Pfrimer IAH, Cunha-Neto E, et
al. In silico construction of a multiepitope Zika
virus vaccine using immunoinformatics tools.
Sci Rep. 2022;12(1):53.
37. Javadi Mamaghani A, Arab-Mazar Z,
Heidarzadeh S, Ranjbar MM, Molazadeh S,
Rashidi S, et al. In-silico design of a multiepitope for developing sero-diagnosis detection
of SARS-CoV-2 using spike glycoprotein and
nucleocapsid antigens. Network modeling and
analysis in health informatics and
bioinformatics. 2021;10(1):61.
38. Faria AR, de Castro Veloso L, CouraVital W, Reis AB, Damasceno LM, Gazzinelli
RT, et al. Novel recombinant multiepitope
proteins for the diagnosis of asymptomatic
Leishmania infantum-infected dogs. PLoS Negl
Trop Dis. 2015;9(1):e3429.