pubmed-article:20089173 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:20089173 | lifeskim:mentions | umls-concept:C0026336 | lld:lifeskim |
pubmed-article:20089173 | lifeskim:mentions | umls-concept:C0017349 | lld:lifeskim |
pubmed-article:20089173 | lifeskim:mentions | umls-concept:C0030956 | lld:lifeskim |
pubmed-article:20089173 | lifeskim:mentions | umls-concept:C1167622 | lld:lifeskim |
pubmed-article:20089173 | lifeskim:mentions | umls-concept:C0039808 | lld:lifeskim |
pubmed-article:20089173 | lifeskim:mentions | umls-concept:C0681842 | lld:lifeskim |
pubmed-article:20089173 | lifeskim:mentions | umls-concept:C1510827 | lld:lifeskim |
pubmed-article:20089173 | pubmed:dateCreated | 2010-2-25 | lld:pubmed |
pubmed-article:20089173 | pubmed:abstractText | The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a distinct subset of peptides and the enormous number of possible peptide epitopes prevents their complete experimental characterization. Computational methods can utilize the limited experimental data to predict the binding affinities of peptides to class II MHC. | lld:pubmed |
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pubmed-article:20089173 | pubmed:language | eng | lld:pubmed |
pubmed-article:20089173 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20089173 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:20089173 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20089173 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:20089173 | pubmed:issn | 1471-2105 | lld:pubmed |
pubmed-article:20089173 | pubmed:author | pubmed-author:BordnerAndrew... | lld:pubmed |
pubmed-article:20089173 | pubmed:author | pubmed-author:MittelmannHan... | lld:pubmed |
pubmed-article:20089173 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:20089173 | pubmed:volume | 11 | lld:pubmed |
pubmed-article:20089173 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:20089173 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:20089173 | pubmed:pagination | 41 | lld:pubmed |
pubmed-article:20089173 | pubmed:dateRevised | 2010-9-28 | lld:pubmed |
pubmed-article:20089173 | pubmed:meshHeading | pubmed-meshheading:20089173... | lld:pubmed |
pubmed-article:20089173 | pubmed:meshHeading | pubmed-meshheading:20089173... | lld:pubmed |
pubmed-article:20089173 | pubmed:meshHeading | pubmed-meshheading:20089173... | lld:pubmed |
pubmed-article:20089173 | pubmed:meshHeading | pubmed-meshheading:20089173... | lld:pubmed |
pubmed-article:20089173 | pubmed:meshHeading | pubmed-meshheading:20089173... | lld:pubmed |
pubmed-article:20089173 | pubmed:meshHeading | pubmed-meshheading:20089173... | lld:pubmed |
pubmed-article:20089173 | pubmed:year | 2010 | lld:pubmed |
pubmed-article:20089173 | pubmed:articleTitle | Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model. | lld:pubmed |
pubmed-article:20089173 | pubmed:affiliation | Mayo Clinic, Scottsdale, AZ 85259, USA. bordner.andrew@mayo.edu | lld:pubmed |
pubmed-article:20089173 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:20089173 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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