Literature DB >> 9745009

A geometric study of the amino acid sequence of class I HLA molecules.

P Cano1, B Fan, S Stass.   

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.

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Substances:

Year:  1998        PMID: 9745009     DOI: 10.1007/s002510050439

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  7 in total

1.  HLA superfamily assignment is a predictor of immune response to cancer testis antigens and survival in ovarian cancer.

Authors:  J Brian Szender; Kevin H Eng; Junko Matsuzaki; Anthony Miliotto; Sacha Gnjatic; Takemasa Tsuji; Kunle Odunsi
Journal:  Gynecol Oncol       Date:  2016-04-23       Impact factor: 5.482

2.  Functional classification of class II human leukocyte antigen (HLA) molecules reveals seven different supertypes and a surprising degree of repertoire sharing across supertypes.

Authors:  Jason Greenbaum; John Sidney; Jolan Chung; Christian Brander; Bjoern Peters; Alessandro Sette
Journal:  Immunogenetics       Date:  2011-02-09       Impact factor: 2.846

3.  HLA class I supertypes: a revised and updated classification.

Authors:  John Sidney; Bjoern Peters; Nicole Frahm; Christian Brander; Alessandro Sette
Journal:  BMC Immunol       Date:  2008-01-22       Impact factor: 3.615

4.  A geometric and algebraic view of MHC-peptide complexes and their binding properties.

Authors:  P Cano; B Fan
Journal:  BMC Struct Biol       Date:  2001-06-29

5.  Relation of HLA class I and II supertypes with spontaneous clearance of hepatitis C virus.

Authors:  M H Kuniholm; K Anastos; A Kovacs; X Gao; D Marti; A Sette; R M Greenblatt; M Peters; M H Cohen; H Minkoff; S J Gange; C L Thio; M A Young; X Xue; M Carrington; H D Strickler
Journal:  Genes Immun       Date:  2013-05-02       Impact factor: 2.676

6.  Association of HLA Class I and Class II genes with bcr-abl transcripts in leukemia patients with t(9;22) (q34;q11).

Authors:  Shailendra Mundhada; Rajyalakshmi Luthra; Pedro Cano
Journal:  BMC Cancer       Date:  2004-06-17       Impact factor: 4.430

7.  Clustering HLA class I superfamilies using structural interaction patterns.

Authors:  Sumitro Harjanto; Lisa F P Ng; Joo Chuan Tong
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

  7 in total

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