Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102: a bioinformatic approach to the prediction of new epitopes.

Journal article

BACKGROUND: 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. METHODOLOGY/FINDINGS: Using an in-house, flow cytometry-based MHC stabilization assay we generated novel peptide binding data, from which we derived a precis...

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Authors: Walshe, V; Hattotuwagama, C; Doytchinova, I; Wong, M; Macdonald, I

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Public Library of Science Publisher's website
• Journal: PloS one Journal website
• Volume: 4
• Issue: 11
• Article number: e8095
• Publication date: 2009-01-01
• DOI: 10.1371/journal.pone.0008095
• EISSN: 1932-6203
• ISSN: 1932-6203
• Language: English
• Keywords: Humans; Peptides; Alleles; Leukocytes, Mononuclear; Edetic Acid; Histocompatibility Antigens Class I; Models, Statistical; Amino Acid Motifs; Major Histocompatibility Complex; HLA-C Antigens; Protein Structure, Tertiary; Protein Binding; Computational Biology; Epitopes; HIV-1