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Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models
BACKGROUND: The binding between peptide epitopes and major histocompatibility complex proteins (MHCs) is an important event in the cellular immune response. Accurate prediction of the binding between short peptides and the MHC molecules has long been a principal challenge for immunoinformatics. Rece...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1513606/ https://www.ncbi.nlm.nih.gov/pubmed/16579851 http://dx.doi.org/10.1186/1471-2105-7-182 |