Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 김길현 | - |
dc.date.accessioned | 2018-06-09T08:13:58Z | - |
dc.date.available | 2018-06-09T08:13:58Z | - |
dc.date.issued | 1996 | - |
dc.identifier.issn | 0161-5890 | - |
dc.identifier.other | OAK-12483 | - |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/244772 | - |
dc.description.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 21Å. 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. | - |
dc.language | English | - |
dc.title | Selection of peptides that bind to the HLA-A2.1 molecule by molecular modelling | - |
dc.type | Article | - |
dc.relation.issue | 2 | - |
dc.relation.volume | 33 | - |
dc.relation.index | SCI | - |
dc.relation.index | SCIE | - |
dc.relation.index | SCOPUS | - |
dc.relation.startpage | 221 | - |
dc.relation.lastpage | 230 | - |
dc.relation.journaltitle | Molecular Immunology | - |
dc.identifier.doi | 10.1016/0161-5890(95)00065-8 | - |
dc.identifier.scopusid | 2-s2.0-0029926327 | - |
dc.author.google | Lim J.-S. | - |
dc.author.google | Kim S. | - |
dc.author.google | Lee H.G. | - |
dc.author.google | Lee K.-Y. | - |
dc.author.google | Kwon T.-J. | - |
dc.author.google | Kim K. | - |
dc.contributor.scopusid | 김길현(56092131700) | - |
dc.date.modifydate | 20211210152111 | - |