Abstract
Epitopes or antigenic determinants are regions of proteins that can trigger a cellular immune response mediated by T or B cells. T cell epitopes are usually protein antigen-derived peptides presented by MHC molecules on antigen-presenting cells and recognized by T-cell receptors. B cell epitopes are either peptides or protein surface residues that bind to an antibody. Since epitopes are central to vaccine design, infectious disease prevention, disease diagnosis and treatment we discuss and analyze computational approaches to predict epitopes. Epitope prediction reduces time and cost to arrive from a protein sequence at a vaccine, diagnostic or therapeutic peptide or protein.
| Original language | English |
|---|---|
| Title of host publication | Encyclopedia of Bioinformatics and Computational Biology |
| Subtitle of host publication | ABC of Bioinformatics |
| Editors | Shoba Ranganathan, Michael Gribskov, Kenta Nakai, Christian Schönbach |
| Publisher | Elsevier |
| Pages | 952 |
| Number of pages | 971 |
| Volume | 2 |
| Edition | 1 |
| ISBN (Electronic) | 9780128114322 |
| ISBN (Print) | 9780128114148 |
| DOIs | |
| Publication status | Published - Jan 1 2019 |
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Cite this
Kogay, R., & Schönbach, C. (2019). Epitope predictions. In S. Ranganathan, M. Gribskov, K. Nakai, & C. Schönbach (Eds.), Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics (1 ed., Vol. 2, pp. 952). Elsevier. https://doi.org/doi.org/10.1016/B978-0-12-809633-8.20248-3