Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102:a bioinformatic approach to the prediction of new epitopes
| Data(s) |
2009
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|---|---|
| Resumo |
Predictive models of peptide-Major Histocompatibility Complex (MHC) binding affinity are important components of modern computational immunovaccinology. Here, we describe the development and deployment of a reliable peptide-binding prediction method for a previously poorly-characterized human MHC class I allele, HLA-Cw*0102. |
| Formato |
application/pdf |
| Identificador |
http://eprints.aston.ac.uk/16072/1/journal.pone.0008095.pdf Walshe, Valerie A.; Hattotuwagama, Channa K.; Doytchinova, Irini A.; Wong, MaiLee; Macdonald, Isabel K.; Mulder, Arend; Claas, Frans H.J.; Pellegrino, Pierre; Turner, Jo; Williams, Ian; Turnbull, Emma L.; Borrow, Persephone and Flower, Darren R (2009). Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102:a bioinformatic approach to the prediction of new epitopes. PLoS ONE, 4 (11), |
| Relação |
http://eprints.aston.ac.uk/16072/ |
| Tipo |
Article PeerReviewed |
