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

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dc.contributor.authorLim, JS-
dc.contributor.authorKim, S-
dc.contributor.authorLee, HG-
dc.contributor.authorLee, KY-
dc.contributor.authorKwon, TJ-
dc.contributor.authorKim, K-
dc.date.accessioned2022-04-19T13:45:53Z-
dc.date.available2022-04-19T13:45:53Z-
dc.date.issued1996-02-
dc.identifier.issn0161-5890-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/150772-
dc.description.abstractCytotoxic 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 Angstrom. 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 simul-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleSelection of peptides that bind to the HLA-A2.1 molecule by molecular modelling-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1016/0161-5890(95)00065-8-
dc.identifier.scopusid2-s2.0-0029926327-
dc.identifier.wosidA1996UH90400010-
dc.identifier.bibliographicCitationMOLECULAR IMMUNOLOGY, v.33, no.2, pp 221 - 230-
dc.citation.titleMOLECULAR IMMUNOLOGY-
dc.citation.volume33-
dc.citation.number2-
dc.citation.startPage221-
dc.citation.endPage230-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorcomputer modeling-
dc.subject.keywordAuthorepitope prediction-
dc.subject.keywordAuthorMHC binding peptide-
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