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...

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Detalles Bibliográficos
Autores principales: Liu, Wen, Meng, Xiangshan, Xu, Qiqi, Flower, Darren R, Li, Tongbin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
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

Internet

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

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