Fundamentals and Methods for T- and B-Cell Epitope Prediction
Adaptive immunity is mediated by T- and B-cells, which are immune cells capable of developing pathogen-specific memory that confers immunological protection. Memory and effector functions of B- and T-cells are predicated on the recognition through specialized receptors of specific targets (antigens)...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Immunology Research |
| Online Access: | http://dx.doi.org/10.1155/2017/2680160 |
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| author | Jose L. Sanchez-Trincado Marta Gomez-Perosanz Pedro A. Reche |
| author_facet | Jose L. Sanchez-Trincado Marta Gomez-Perosanz Pedro A. Reche |
| author_sort | Jose L. Sanchez-Trincado |
| collection | DOAJ |
| description | Adaptive immunity is mediated by T- and B-cells, which are immune cells capable of developing pathogen-specific memory that confers immunological protection. Memory and effector functions of B- and T-cells are predicated on the recognition through specialized receptors of specific targets (antigens) in pathogens. More specifically, B- and T-cells recognize portions within their cognate antigens known as epitopes. There is great interest in identifying epitopes in antigens for a number of practical reasons, including understanding disease etiology, immune monitoring, developing diagnosis assays, and designing epitope-based vaccines. Epitope identification is costly and time-consuming as it requires experimental screening of large arrays of potential epitope candidates. Fortunately, researchers have developed in silico prediction methods that dramatically reduce the burden associated with epitope mapping by decreasing the list of potential epitope candidates for experimental testing. Here, we analyze aspects of antigen recognition by T- and B-cells that are relevant for epitope prediction. Subsequently, we provide a systematic and inclusive review of the most relevant B- and T-cell epitope prediction methods and tools, paying particular attention to their foundations. |
| format | Article |
| id | doaj-art-a48f58f35d2248e5a67a26e267ddfbc8 |
| institution | Kabale University |
| issn | 2314-8861 2314-7156 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Immunology Research |
| spelling | doaj-art-a48f58f35d2248e5a67a26e267ddfbc82025-02-03T01:01:49ZengWileyJournal of Immunology Research2314-88612314-71562017-01-01201710.1155/2017/26801602680160Fundamentals and Methods for T- and B-Cell Epitope PredictionJose L. Sanchez-Trincado0Marta Gomez-Perosanz1Pedro A. Reche2Laboratory of Immunomedicine, Faculty of Medicine, Complutense University of Madrid, Ave Complutense S/N, 28040 Madrid, SpainLaboratory of Immunomedicine, Faculty of Medicine, Complutense University of Madrid, Ave Complutense S/N, 28040 Madrid, SpainLaboratory of Immunomedicine, Faculty of Medicine, Complutense University of Madrid, Ave Complutense S/N, 28040 Madrid, SpainAdaptive immunity is mediated by T- and B-cells, which are immune cells capable of developing pathogen-specific memory that confers immunological protection. Memory and effector functions of B- and T-cells are predicated on the recognition through specialized receptors of specific targets (antigens) in pathogens. More specifically, B- and T-cells recognize portions within their cognate antigens known as epitopes. There is great interest in identifying epitopes in antigens for a number of practical reasons, including understanding disease etiology, immune monitoring, developing diagnosis assays, and designing epitope-based vaccines. Epitope identification is costly and time-consuming as it requires experimental screening of large arrays of potential epitope candidates. Fortunately, researchers have developed in silico prediction methods that dramatically reduce the burden associated with epitope mapping by decreasing the list of potential epitope candidates for experimental testing. Here, we analyze aspects of antigen recognition by T- and B-cells that are relevant for epitope prediction. Subsequently, we provide a systematic and inclusive review of the most relevant B- and T-cell epitope prediction methods and tools, paying particular attention to their foundations.http://dx.doi.org/10.1155/2017/2680160 |
| spellingShingle | Jose L. Sanchez-Trincado Marta Gomez-Perosanz Pedro A. Reche Fundamentals and Methods for T- and B-Cell Epitope Prediction Journal of Immunology Research |
| title | Fundamentals and Methods for T- and B-Cell Epitope Prediction |
| title_full | Fundamentals and Methods for T- and B-Cell Epitope Prediction |
| title_fullStr | Fundamentals and Methods for T- and B-Cell Epitope Prediction |
| title_full_unstemmed | Fundamentals and Methods for T- and B-Cell Epitope Prediction |
| title_short | Fundamentals and Methods for T- and B-Cell Epitope Prediction |
| title_sort | fundamentals and methods for t and b cell epitope prediction |
| url | http://dx.doi.org/10.1155/2017/2680160 |
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