Abstract
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.
Original language | English |
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Article number | e8095 |
Number of pages | 11 |
Journal | PLoS ONE |
Volume | 4 |
Issue number | 11 |
DOIs | |
Publication status | Published - 2009 |
Bibliographical note
© 2009 Walshe et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Keywords
- alleles
- amino acid motifs
- computational biology
- edetic acid
- epitopes
- HIV-1
- HLA-C antigens
- histocompatibility antigens class I
- humans
- mononuclear leukocytes
- major histocompatibility complex
- statistical models
- peptides
- protein binding
- tertiary protein structure