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SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequence
BACKGROUND: The identification of immunogenic regions on the surface of antigens, which are able to be recognized by antibodies and to trigger an immune response, is a major challenge for the design of new and effective vaccines. The prediction of such regions through computational immunology techni...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5301386/ https://www.ncbi.nlm.nih.gov/pubmed/28183272 http://dx.doi.org/10.1186/s12859-017-1528-9 |