Constructing novel chimeric DNA vaccine against Salmonella enterica based on SopB and GroEL proteins: an in silico approach

被引:8
作者
Farhadi T. [1 ]
Hashemian S.M.R. [1 ]
机构
[1] Chronic Respiratory Diseases Research Center (CRDRC), National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, P. O. Box 19569‑44413, Tehran
关键词
Epitope; GroEL; Salmonella; SopB; Vaccine;
D O I
10.1007/s40005-017-0360-6
中图分类号
学科分类号
摘要
Salmonella enterica is an important enteric pathogen that causes intestinal and systemic infections in warm-blooded animals. Due to different problems caused by administration of live attenuated vaccines, a DNA vaccine that is protective against S. enterica is desirable. By combining conserved antigenic determinant into a single vaccine, cross-protective immunity against many different immunogenic serovars can be achieved. This study proposed an in silico approach by assembling antigenic and conserved regions of SopB and GroEL proteins of S. enterica to induce multi-epitopic responses against the pathogen. In total, two unique and reliable antigenic regions of each protein were found and assembled in a chimeric DNA construct fused using appropriate linkers. Epitope predictions showed that the hypothetical synthetic construct could induce B and T-cell epitopes that yield a high immune response. Most regions of the chimeric construct were predicted to have high antigenic propensity and surface accessibility. The three-dimensional structure of the construct was generated and validated as a proper model which may define reliability, structural quality and conformation. DNA vaccine could cause concentration and increasing immune responses to critical epitopes and decrease adverse effects of vaccination. Successful in silico modeling has shown to be a promising approach to design robust vaccine targeting SopB and GroEL proteins of S. enterica. © 2017, The Korean Society of Pharmaceutical Sciences and Technology.
引用
收藏
页码:639 / 655
页数:16
相关论文
共 93 条
[1]  
Amara R.R., Villinger F., Altman J.D., Lydy S.L., O'Neil S.P., Staprans S.I., Et al., Control of a mucosal challenge and prevention of AIDS by a multiprotein DNA/MVA vaccine, Vaccine, 20, 15, pp. 1949-1955, (2002)
[2]  
Angamuthu K., Piramanayagam S., Evaluation of In silico protein secondary structure prediction methods by employing statistical techniques, Biomed Biotechnol Res J, 1, pp. 23-29, (2017)
[3]  
Ansari H.R., Raghava G.P.S., Identification of 755 conformational B-cell Epitopes in an antigen from its primary sequence, Immunome Res, 6, (2010)
[4]  
Arai R., Ueda H., Kitayama A., Kamiya N., Nagamune T., Design of the linkers which effectively separate domains of a bifunctional fusion protein, Protein Eng, 14, pp. 529-532, (2001)
[5]  
Arai R., Wriggers W., Nishikawa Y., Nagamune T., Fujisawa T., Conformations of variably linked chimeric proteins evaluated by synchrotron X-ray small-angle scattering, Proteins, 57, pp. 829-838, (2004)
[6]  
Balen B., Krsnik-Rasol M., N-glycosylation of recombinant therapeutic glycoproteins in plant systems, Food Technol Biotechnol, 45, pp. 1-10, (2007)
[7]  
Bashford D., Macroscopic electrostatic models for protonation states in proteins, Front Biosci, 9, pp. 1082-1099, (2004)
[8]  
Berzofsky J.A., Ahlers J.D., Belyakov I.M., Strategies for designing and optimizing new generation vaccines, Nat Rev Immunol, 1, 3, pp. 209-219, (2001)
[9]  
Blom N., Gammeltoft S., Brunak S., Sequence and structure-based prediction of eukaryotic protein phosphorylation sites, J Mol Biol, 294, 5, pp. 1351-1362, (1999)
[10]  
Cai C., Han L., Ji Z., Chen X., Chen Y., SVM-Prot: web-based support vector machine software for functional classification of a protein from its primary sequence, Nucl Acids Res, 31, 13, pp. 3692-3697, (2003)