상세 정보

underline
Metadata Downloads : dc(xml) or Excel
Cited 0 time in scopus ci

Title 

Selection of peptides that bind to the HLA-A2.1 molecule by molecular modelling

Authors 

Jong-Seok LimSeung Moak KimHee Gu LeeKi Young LeeT J KwonKil Hyoun Kim

Publisher 

Elsevier

Issue Date 

1996

Citation 

Molecular Immunology, vol. 33, no. 2, pp. 221-230

Keywords 

computer modelingepitope predictionMHC binding peptidebinding proteinHLA A2 antigensynthetic peptidebinding SitesHLA-A2 Antigenmodels, molecularmolecular sequence data

Abstract 

Cytotoxic T lymphocytes recognize antigenic peptides in association with major histocompatibility complex class I proteins. Although a large set of class I binding peptides has been described, it is not yet easy to search for potentially antigenic peptides without synthesis of a panel of peptides, and subsequent binding assays. In order to predict HLA-A2.1-restricted antigenic epitopes, a computer model of the HLA-A2.1 molecule was established using X-ray crystallography data. In this model nonameric peptide sequences were aligned. In a molecular dynamics (MD) simulation with two sets of peptides known to be presented by HLA-A2.1, it was important to know the anchor amino acid residue preference and the distance between the anchor residues. We show here that the peptides bound to the HLA-A2.1 model structure possess a side chain of C-terminal anchor residue oriented into the binding groove with different distances between the two anchor residues from 15 to 21?. We also synthesized a set of nonamer peptides containing amino acid sequences of Hepatitis B virus protein that were selected on the basis of previously described HLA-A2.1 specific motifs. When results obtained from the MD simulation were compared with functional binding assays using the TAP-deficient cell line T2, it was evident that the MD simulation method improves prediction of the HLA-A2.1 binding epitope sequence. These results suggest that this approach can provide a way to predict peptide epitopes and search for antigenic regions in sequences in a variety of antigens without screening a large number of synthetic peptides.

ISSN 

0161-5890

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2017-04-19


There are no files associated with this item.
qrcode

FusionCharts.
DSpace Software Coptright(c) 2010 MIT and Hewleft-Packard  /  KRIBB-REPOSITORY ( Email:jakim@kribb.re.kr)