Prediction of MHC class I binding peptides, using SVMHC

scientific article

Prediction of MHC class I binding peptides, using SVMHC is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/bmcbi/DonnesE02
P6179Dimensions Publication ID1007867079
P356DOI10.1186/1471-2105-3-25
P3181OpenCitations bibliographic resource ID2126262
P932PMC publication ID129981
P698PubMed publication ID12225620
P5875ResearchGate publication ID11163283

P50authorPierre DönnesQ29998968
Arne ElofssonQ38329652
P2093author name stringPierre Dönnes
P2860cites workMHCPEP, a database of MHC-binding peptides: update 1997.Q39722482
MHC ligands and peptide motifs: first listingQ40612811
Multi-class protein fold recognition using support vector machines and neural networks.Q48681384
Identification of related proteins on family, superfamily and fold level.Q52083234
Predicting peptides that bind to MHC molecules using supervised learning of hidden Markov models.Q52181475
Neural network-based prediction of candidate T-cell epitopes.Q52233419
Two complementary methods for predicting peptides binding major histocompatibility complex molecules.Q52266980
Peptide motifs of closely related HLA class I molecules encompass substantial differencesQ68033060
The Ensembl genome database projectQ24548408
Profile analysis: detection of distantly related proteinsQ24606115
Knowledge-based analysis of microarray gene expression data by using support vector machinesQ27939386
Comparison of the predicted and observed secondary structure of T4 phage lysozymeQ29398301
Prediction of protein secondary structure at better than 70% accuracyQ29547323
SYFPEITHI: database for MHC ligands and peptide motifsQ29616214
Immunodominance in major histocompatibility complex class I-restricted T lymphocyte responsesQ33652450
HLA expression in cancer: implications for T cell-based immunotherapyQ34329771
Scheme for ranking potential HLA-A2 binding peptides based on independent binding of individual peptide side-chains.Q34345936
Structure-based prediction of binding peptides to MHC class I molecules: application to a broad range of MHC allelesQ36282171
P433issue1
P407language of work or nameEnglishQ1860
P304page(s)25
P577publication date2002-09-11
P1433published inBMC BioinformaticsQ4835939
P1476titlePrediction of MHC class I binding peptides, using SVMHC
P478volume3

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