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Title: Clustering HLA class I superfamilies using structural interaction patterns
Authors: Harjanto S.
Ng L.F.P. 
Tong J.C. 
Keywords: HLA A antigen
HLA B antigen
antibody combining site
antigen binding
gene cluster
gene frequency
genetic variability
molecular interaction
peptide analysis
process development
structure analysis
Amino Acid Sequence
Cluster Analysis
Computational Biology
Epitopes, T-Lymphocyte
HLA-A Antigens
HLA-B Antigens
Molecular Sequence Data
Multigene Family
Protein Binding
Issue Date: 2014
Publisher: Public Library of Science
Citation: Harjanto S., Ng L.F.P., Tong J.C. (2014). Clustering HLA class I superfamilies using structural interaction patterns. PLoS ONE 9 (1) : e86655. ScholarBank@NUS Repository.
Abstract: Human leukocyte antigen (HLA) class I molecules are critical components of the cell-mediated immune system that bind and present intracellular antigenic peptides to CD8+ T cell receptors. To understand the interaction mechanism underlying human leukocyte antigen (HLA) class I specificity in detail, we studied the structural interaction characteristics of 16,393 nonameric peptides binding to 58 HLA-A and -B molecules. Our analysis showed for the first time that HLA-peptide intermolecular bonding patterns vary among different alleles and may be grouped in a superfamily dependent manner. Through the use of these HLA class I 'fingerprints', a high resolution HLA class I superfamily classification schema was developed. This classification is capable of separating HLA alleles into well resolved, non-overlapping clusters, which is consistent with known HLA superfamily definitions. Such structural interaction approach serves as an excellent alternative to the traditional methods of HLA superfamily definitions that use peptide binding motifs or receptor information, and will help identify appropriate antigens suitable for broad-based subunit vaccine design. © 2014 Harjanto et al.
Source Title: PLoS ONE
ISSN: 19326203
DOI: 10.1371/journal.pone.0086655
Appears in Collections:Staff Publications

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