Related Experiment Video
Updated: Sep 11, 2026

Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation
Published on: September 6, 2017
A geometric study of the amino acid sequence of class I HLA molecules
1University of Maryland at Baltimore, Department of Pathology, UMMS Clinical Laboratories, 22 S. Greene St., Room N2W50A, Baltimore, MD 21201-1544, USA.
Abstract:
HLA class I alleles are studied by representing them in a metric space where each dimension corresponds to each one of the amino acid positions. Their similarity in reference to their ability to present peptides to T cells is then evaluated by calculating the correlation matrix between the amino-acid-composition tables (or binding affinity tables) for the sets of peptides presented by each allele. This correlation matrix is considered an empirical similarity matrix between HLA alleles, and is modeled in terms of possible structures defined in the metric space of HLA class I amino acid sequences. These geometric structures are adequate models of the peptide-binding data currently available. The following clusters of HLA class I molecules are identified in reference to their ability to present peptides: Cluster I) HLA-A3/ HLA-A11/ HLA-A31/ HLA-A33/ HLA-A68; Cluster II) HLA-B35/ HLA-B51/ HLA-B53/ HLA-B54/ HLA-B7; and Cluster III) HLA-A29/ HLA-B61/HLA-B44; the last cluster showing possible similarities between alleles from different loci. In modeling these natural clusters, the geometric structures with more predictive power confirm the importance of those positions in the peptide-binding groove, particularly those in the B pocket. In addition, other positions (46, 79, 113, 131, 144, and 177) appeared to bear some relevance in determining which peptides can be presented by which HLA alleles.
More Related Videos
Related Concept Videos
Protein Organization
Amino acids
Protein and Protein Structure
Gene Families
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...

