2005
DOI: 10.1016/j.jmgm.2004.12.002
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Modelling of HLA-DQ2 and its interaction with gluten peptides to explain molecular recognition in celiac disease

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Cited by 35 publications
(21 citation statements)
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“…HLA-DQ8 is formed by an α-chain encoded by HLA-DQ A1*03/01 and a β-chain encoded by HLA-DQ B1*0302. DQ2 and DQ8 chains had 91% of sequence identity for both chains (Constantini et al 2005). HLA-DQ2 is present in the vast majority of CD patients (90-95%).…”
Section: Adaptive Immune Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…HLA-DQ8 is formed by an α-chain encoded by HLA-DQ A1*03/01 and a β-chain encoded by HLA-DQ B1*0302. DQ2 and DQ8 chains had 91% of sequence identity for both chains (Constantini et al 2005). HLA-DQ2 is present in the vast majority of CD patients (90-95%).…”
Section: Adaptive Immune Systemmentioning
confidence: 99%
“…Recent studies on various native and modified peptides from α/β-gliadins and γ-gliadins extended the knowledge basis for understanding the binding Qiao et al 2005). The computer modeling of HLA-DQ2 and its interaction with gluten peptides could distinguish which substitutions improve the binding and showed that Glu residues interact with specific positively charged amino acids of HLA-DQ2 (Constantini et al 2005). Rather less is known about the binding motif for HLA-DQ8.…”
Section: Adaptive Immune Systemmentioning
confidence: 99%
“…In particular, for example, HLA-DQA1*0501 is strongly associated with celiac disease, in which a specific deamidated gliadin peptide binds preferentially to the antigenbinding pocket created by HLA-DQA1*0501 and HLA-DQB1*0201 from where the antigen is most efficiently presented to T cells. 13 Thus, the rarity of membranous nephropathy might be the result not of rare PLA2R1 polymorphisms but of the infrequent concurrence of common PLA2R1 variants in individuals predisposed to autoimmunity and positive for an HLA-DQ2 haplotype that includes particular alleles of HLA-DQA1 and HLA-DRB1 or HLA-DQB1.…”
Section: Nonementioning
confidence: 99%
“…The CVFF force field within the Discover module of Insight II was used to assign potentials and charges, and a mild energy minimization was applied, by performing 500 steps under the conjugate gradient algorithm, in order to optimise the interaction between the two sea bream protein chains and avoid sterical clashes according to the procedure used in our previous similar work [29].…”
Section: Modelling Of Sea Bream Cd8aa Homodimermentioning
confidence: 99%