Farideh Ghalamfarsa, Amir Savardashtaki, Cambyz Irajie, Amir Emami, Navid Nezafat, Younes Ghasemi
{"title":"利用免疫优势蛋白构建多表位抗原用于沙眼衣原体血清学诊断:一种计算机方法","authors":"Farideh Ghalamfarsa, Amir Savardashtaki, Cambyz Irajie, Amir Emami, Navid Nezafat, Younes Ghasemi","doi":"10.2174/0115701646244648231014153217","DOIUrl":null,"url":null,"abstract":"Background: Chlamydiasis is a widespread bacterial infection in the world. Serological tests are expensive, and in addition, intrinsic antigens can cause cross-reactions and make the diagnosis process difficult. Multi-epitope protein antigens are novel and potential diagnostic markers that have the capability of more accurate and cheaper diagnosis. Therefore, in this study, the main goal is to design a new protein vaccine, including multiple epitopes of B cells with dominant immunity from three proteins named MOMP, ompA and Pgp3D from C. trachomatis Methods: The amino acid sequences were obtained from the UniProt database. The areas with the highest antigenicity were identified using the EMBOSS server. Linear B cell epitopes were determined using BCPRED, ABCpred, and Bepipred servers. Epitopes with the highest antigenicity were connected using the EAAAK linker. Results: Two epitopes from MOMP, two from ompA, and one from Pgp3D were selected. These epitopes were connected to each other with the EAAAK linker. Three residues (0.592), 16 residues (0.76), 36 residues (0.578), and 37 residues (0.734) were obtained from the prediction of the spatial structure of the B cell multiple epitopes designed with ElliPro. Model 1 of RaptorX was selected as the best structure. In this model, the ERRAT quality, ProSA-web z-score, and Verify3D were 83.1169, - 5.17 and 84.62% with PASS score, respectively. Moreover, the Ramachandran plot showed that 86.093% of the amino acid residues were located in the favored region. To achieve the highest level of protein expression, the designed multi-epitope reverse-translated with the Genscript server and was cloned in E. coli. The highest level of expression was achieved, and a CAI score of 0.91 was reported. The gene GC content was 51.98%, and the contribution of low-frequency codons was 0%. Conclusion: The results confirmed that the designed construct could identify C. trachomatis with high sensitivity and specificity in serum samples of patients with chlamydiasis. However, further experimental studies are needed for final confirmation.","PeriodicalId":50601,"journal":{"name":"Current Proteomics","volume":"15 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing Multi-epitope Antigen Construct from Immunodominant Proteins for Serological Diagnosis of Chlamydia trachomatis: An In Silico Approach\",\"authors\":\"Farideh Ghalamfarsa, Amir Savardashtaki, Cambyz Irajie, Amir Emami, Navid Nezafat, Younes Ghasemi\",\"doi\":\"10.2174/0115701646244648231014153217\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Chlamydiasis is a widespread bacterial infection in the world. Serological tests are expensive, and in addition, intrinsic antigens can cause cross-reactions and make the diagnosis process difficult. Multi-epitope protein antigens are novel and potential diagnostic markers that have the capability of more accurate and cheaper diagnosis. Therefore, in this study, the main goal is to design a new protein vaccine, including multiple epitopes of B cells with dominant immunity from three proteins named MOMP, ompA and Pgp3D from C. trachomatis Methods: The amino acid sequences were obtained from the UniProt database. The areas with the highest antigenicity were identified using the EMBOSS server. Linear B cell epitopes were determined using BCPRED, ABCpred, and Bepipred servers. Epitopes with the highest antigenicity were connected using the EAAAK linker. Results: Two epitopes from MOMP, two from ompA, and one from Pgp3D were selected. These epitopes were connected to each other with the EAAAK linker. Three residues (0.592), 16 residues (0.76), 36 residues (0.578), and 37 residues (0.734) were obtained from the prediction of the spatial structure of the B cell multiple epitopes designed with ElliPro. Model 1 of RaptorX was selected as the best structure. In this model, the ERRAT quality, ProSA-web z-score, and Verify3D were 83.1169, - 5.17 and 84.62% with PASS score, respectively. Moreover, the Ramachandran plot showed that 86.093% of the amino acid residues were located in the favored region. To achieve the highest level of protein expression, the designed multi-epitope reverse-translated with the Genscript server and was cloned in E. coli. The highest level of expression was achieved, and a CAI score of 0.91 was reported. The gene GC content was 51.98%, and the contribution of low-frequency codons was 0%. Conclusion: The results confirmed that the designed construct could identify C. trachomatis with high sensitivity and specificity in serum samples of patients with chlamydiasis. However, further experimental studies are needed for final confirmation.\",\"PeriodicalId\":50601,\"journal\":{\"name\":\"Current Proteomics\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Proteomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0115701646244648231014153217\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0115701646244648231014153217","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Developing Multi-epitope Antigen Construct from Immunodominant Proteins for Serological Diagnosis of Chlamydia trachomatis: An In Silico Approach
Background: Chlamydiasis is a widespread bacterial infection in the world. Serological tests are expensive, and in addition, intrinsic antigens can cause cross-reactions and make the diagnosis process difficult. Multi-epitope protein antigens are novel and potential diagnostic markers that have the capability of more accurate and cheaper diagnosis. Therefore, in this study, the main goal is to design a new protein vaccine, including multiple epitopes of B cells with dominant immunity from three proteins named MOMP, ompA and Pgp3D from C. trachomatis Methods: The amino acid sequences were obtained from the UniProt database. The areas with the highest antigenicity were identified using the EMBOSS server. Linear B cell epitopes were determined using BCPRED, ABCpred, and Bepipred servers. Epitopes with the highest antigenicity were connected using the EAAAK linker. Results: Two epitopes from MOMP, two from ompA, and one from Pgp3D were selected. These epitopes were connected to each other with the EAAAK linker. Three residues (0.592), 16 residues (0.76), 36 residues (0.578), and 37 residues (0.734) were obtained from the prediction of the spatial structure of the B cell multiple epitopes designed with ElliPro. Model 1 of RaptorX was selected as the best structure. In this model, the ERRAT quality, ProSA-web z-score, and Verify3D were 83.1169, - 5.17 and 84.62% with PASS score, respectively. Moreover, the Ramachandran plot showed that 86.093% of the amino acid residues were located in the favored region. To achieve the highest level of protein expression, the designed multi-epitope reverse-translated with the Genscript server and was cloned in E. coli. The highest level of expression was achieved, and a CAI score of 0.91 was reported. The gene GC content was 51.98%, and the contribution of low-frequency codons was 0%. Conclusion: The results confirmed that the designed construct could identify C. trachomatis with high sensitivity and specificity in serum samples of patients with chlamydiasis. However, further experimental studies are needed for final confirmation.
Current ProteomicsBIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
审稿时长
>0 weeks
期刊介绍:
Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry.
Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to:
Protein separation and characterization techniques
2-D gel electrophoresis and image analysis
Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching
Determination of co-translational and post- translational modification of proteins
Protein/peptide microarrays
Biomolecular interaction analysis
Analysis of protein complexes
Yeast two-hybrid projects
Protein-protein interaction (protein interactome) pathways and cell signaling networks
Systems biology
Proteome informatics (bioinformatics)
Knowledge integration and management tools
High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography)
High-throughput computational methods for protein 3-D structure as well as function determination
Robotics, nanotechnology, and microfluidics.