An automated prediction of MHC class I-binding peptides based on positional scanning with peptide libraries
Identifieur interne : 003765 ( Main/Exploration ); précédent : 003764; suivant : 003766An automated prediction of MHC class I-binding peptides based on positional scanning with peptide libraries
Auteurs : Keiko Udaka [Japon] ; Karl-Heinz Wiesmüller [Allemagne] ; Stefan Kienle [Allemagne] ; Günther Jung [Allemagne] ; Hirokazu Tamamura [Japon] ; Hideo Yamagishi [Japon] ; Ko Okumura [Japon] ; Peter Walden [Allemagne] ; Taku Suto [Japon] ; Toshisuke Kawasaki [Japon]Source :
- Immunogenetics [ 0093-7711 ] ; 2000-08-01.
English descriptors
Abstract
Abstract.: Specificities of three mouse major histocompatibility complex (MHC) class I molecules, Kb, Db, and Ld, were analyzed by positional scanning using combinatorial peptide libraries. The result of the analysis was used to create a scoring program to predict MHC-binding peptides in proteins. The capacity of the scoring was then challenged with a number of peptides by comparing the prediction with the experimental binding. The score and the experimental binding exhibited a linear correlation but with substantial deviations of data points. Statistically, for approximately 80% of randomly chosen peptides, MHC-binding capacity could be predicted within one log concentration of peptides for a half-maximal binding. Known cytotoxic T-lymphocyte epitope peptides could be predicted, with a few exceptions. In addition, frequent findings of MHC-binding peptides with incomplete or no anchor amino acid(s) suggested a substantial bias introduced by natural antigen processing in peptide selection by MHC class I molecules.
Url:
DOI: 10.1007/s002510000217
Affiliations:
- Allemagne, Japon
- Bade-Wurtemberg, Berlin, District de Tübingen, Hambourg, Région de Kantō, Région du Kansai
- Berlin, Hambourg, Kyoto, Tokyo, Tübingen
- Université de Kyoto, Université de Tokyo
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type="eISSN">1432-1211</idno><imprint><publisher>Springer-Verlag</publisher><pubPlace>Berlin/Heidelberg</pubPlace><date type="published" when="2000-08-01">2000-08-01</date><biblScope unit="volume">51</biblScope><biblScope unit="issue">10</biblScope><biblScope unit="page" from="816">816</biblScope><biblScope unit="page" to="828">828</biblScope></imprint><idno type="ISSN">0093-7711</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0093-7711</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>MHC class I Peptide Library Prediction</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract.: Specificities of three mouse major histocompatibility complex (MHC) class I molecules, Kb, Db, and Ld, were analyzed by positional scanning using combinatorial peptide libraries. The result of the analysis was used to create a scoring program to predict MHC-binding peptides in proteins. The capacity of the scoring was then challenged with a number of peptides by comparing the prediction with the experimental binding. The score and the experimental binding exhibited a linear correlation but with substantial deviations of data points. Statistically, for approximately 80% of randomly chosen peptides, MHC-binding capacity could be predicted within one log concentration of peptides for a half-maximal binding. Known cytotoxic T-lymphocyte epitope peptides could be predicted, with a few exceptions. In addition, frequent findings of MHC-binding peptides with incomplete or no anchor amino acid(s) suggested a substantial bias introduced by natural antigen processing in peptide selection by MHC class I molecules.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>Japon</li></country><region><li>Bade-Wurtemberg</li><li>Berlin</li><li>District de Tübingen</li><li>Hambourg</li><li>Région de Kantō</li><li>Région du Kansai</li></region><settlement><li>Berlin</li><li>Hambourg</li><li>Kyoto</li><li>Tokyo</li><li>Tübingen</li></settlement><orgName><li>Université de Kyoto</li><li>Université de Tokyo</li></orgName></list><tree><country name="Japon"><region name="Région du Kansai"><name sortKey="Udaka, Keiko" sort="Udaka, Keiko" uniqKey="Udaka K" first="Keiko" last="Udaka">Keiko Udaka</name></region><name sortKey="Kawasaki, Toshisuke" sort="Kawasaki, Toshisuke" uniqKey="Kawasaki T" first="Toshisuke" last="Kawasaki">Toshisuke Kawasaki</name><name sortKey="Okumura, Ko" sort="Okumura, Ko" uniqKey="Okumura K" first="Ko" last="Okumura">Ko Okumura</name><name sortKey="Suto, Taku" sort="Suto, Taku" uniqKey="Suto T" first="Taku" last="Suto">Taku Suto</name><name sortKey="Tamamura, Hirokazu" sort="Tamamura, Hirokazu" uniqKey="Tamamura H" first="Hirokazu" last="Tamamura">Hirokazu Tamamura</name><name sortKey="Udaka, Keiko" sort="Udaka, Keiko" uniqKey="Udaka K" first="Keiko" last="Udaka">Keiko Udaka</name><name sortKey="Yamagishi, Hideo" sort="Yamagishi, Hideo" uniqKey="Yamagishi H" first="Hideo" last="Yamagishi">Hideo Yamagishi</name></country><country name="Allemagne"><region name="Hambourg"><name sortKey="Wiesmuller, Karl Heinz" sort="Wiesmuller, Karl Heinz" uniqKey="Wiesmuller K" first="Karl-Heinz" last="Wiesmüller">Karl-Heinz Wiesmüller</name></region><name sortKey="Jung, Gunther" sort="Jung, Gunther" uniqKey="Jung G" first="Günther" last="Jung">Günther Jung</name><name sortKey="Kienle, Stefan" sort="Kienle, Stefan" uniqKey="Kienle S" first="Stefan" last="Kienle">Stefan Kienle</name><name sortKey="Walden, Peter" sort="Walden, Peter" uniqKey="Walden P" first="Peter" last="Walden">Peter Walden</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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