Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines
| Autor: | Fabian G. Martinez, Benjamin I. Baarda, Aleksandra E. Sikora |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Immunologic diseases. Allergy
0301 basic medicine Proteome 030106 microbiology Immunology Gonorrhea Review Protein structure function membrane vesicles Biology Bioinformatics Proteomics medicine.disease_cause Genome Immunoproteomics Structure-Activity Relationship 03 medical and health sciences proteomics antigen reverse vaccinology vaccine medicine Animals Humans Immunology and Allergy Antigens Cell Membrane Reverse vaccinology protein structure-function Computational Biology bioinformatics medicine.disease Neisseria gonorrhoeae 3. Good health Bacterial Vaccines lcsh:RC581-607 |
| Zdroj: | Frontiers in Immunology, Vol 9 (2018) Frontiers in Immunology |
| ISSN: | 1664-3224 |
| DOI: | 10.3389/fimmu.2018.02793 |
| Popis: | Expanding efforts to develop preventive gonorrhea vaccines is critical because of the serious health consequences combined with the prevalence and the dire possibility of untreatable gonorrhea. Reverse vaccinology, which includes genome and proteome mining, has proven successful in the discovery of vaccine candidates against many pathogenic bacteria. Here, we describe proteomic applications including comprehensive, quantitative proteomic platforms and immunoproteomics coupled with broad-ranging bioinformatics that have been applied for antigen mining to develop gonorrhea vaccine(s). We further focus on outlining the vaccine candidate decision tree, describe the structure-function of novel proteome-derived antigens as well as ways to gain insights into their roles in the cell envelope, and underscore new lessons learned about the fascinating biology of Neisseria gonorrhoeae. |
| Databáze: | OpenAIRE |
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