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

Volumn 4, Issue 11, 2009, Pages

  Walshe, Valerie A ^a,e   Hattotuwagama, Channa K ^a,f   Doytchinova, Irini A ^a,d   Wong, MaiLee ^a,g   Macdonald, Isabel K ^a,h   Mulder, Arend ^b   Claas, Frans H J ^b   Pellegrino, Pierre ^c   Turner, Jo ^c   Williams, Ian ^c   Turnbull, Emma L ^a   Borrow, Persephone ^a   Flower, Darren R ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^c ROYAL FREE AND UNIVERSITY COLLEGE MEDICAL SCHOOL   (United Kingdom)

^d MEDICAL UNIVERSITY OF SOFIA   (Bulgaria)

^e PUBLIC HEALTH ENGLAND   (United Kingdom)

^f GLAXOSMITHKLINE   (United Kingdom)

^g Caudex Medical   (United Kingdom)

^h Oncimmune Germany GmbH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EDETIC ACID; EPITOPE; HLA ANTIGEN CLASS 1; HLA C ANTIGEN; HLA CW0102 ANTIGEN; HLA-CW0102 ANTIGEN; PEPTIDE;

ALLELE; ARTICLE; BIOLOGY; CHEMISTRY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; IN VITRO STUDY; MAJOR HISTOCOMPATIBILITY COMPLEX; METABOLISM; METHODOLOGY; MONONUCLEAR CELL; PROTEIN BINDING; PROTEIN MOTIF; PROTEIN TERTIARY STRUCTURE; STATISTICAL MODEL;

ALLELES; AMINO ACID MOTIFS; COMPUTATIONAL BIOLOGY; EDETIC ACID; EPITOPES; HISTOCOMPATIBILITY ANTIGENS CLASS I; HIV-1; HLA-C ANTIGENS; HUMANS; LEUKOCYTES, MONONUCLEAR; MAJOR HISTOCOMPATIBILITY COMPLEX; MODELS, STATISTICAL; PEPTIDES; PROTEIN BINDING; PROTEIN STRUCTURE, TERTIARY;

EID: 77951247977     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0008095     Document Type: Article

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