pubmed-article:7561128 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:7561128 | lifeskim:mentions | umls-concept:C0019629 | lld:lifeskim |
pubmed-article:7561128 | lifeskim:mentions | umls-concept:C1167622 | lld:lifeskim |
pubmed-article:7561128 | lifeskim:mentions | umls-concept:C0681842 | lld:lifeskim |
pubmed-article:7561128 | pubmed:issue | 2 | lld:pubmed |
pubmed-article:7561128 | pubmed:dateCreated | 1995-11-1 | lld:pubmed |
pubmed-article:7561128 | pubmed:abstractText | The binding of antigenic peptide sequences to major histocompatibility complex (MHC) molecules is a prerequisite for stimulation of cytotoxic T cell responses. Neural networks are here used to predict the binding capacity of polypeptides to MHC class I molecules encoded by the gene HLA-A*0201. Given a large database of 552 nonamers and 486 decamers and their known binding capacities, the neural networks achieve a predictive hit rate of 0.78 for classifying peptides which might induce an immune response (good or intermediate binders) vs. those which cannot (weak or non-binders). The neural nets also depict specific motifs for different binding capacities. This approach is in principle applicable to all MHC class I and II molecules, given a suitable set of known binding capacities. The trained networks can then be used to perform a systematic search through all pathogen or tumor antigen protein sequences for potential cytotoxic T lymphocyte epitopes. | lld:pubmed |
pubmed-article:7561128 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:7561128 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:7561128 | pubmed:language | eng | lld:pubmed |
pubmed-article:7561128 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:7561128 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:7561128 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:7561128 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:7561128 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:7561128 | pubmed:month | Sep | lld:pubmed |
pubmed-article:7561128 | pubmed:issn | 0022-1759 | lld:pubmed |
pubmed-article:7561128 | pubmed:author | pubmed-author:AdamsH PHP | lld:pubmed |
pubmed-article:7561128 | pubmed:author | pubmed-author:KoziolJ AJA | lld:pubmed |
pubmed-article:7561128 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:7561128 | pubmed:day | 25 | lld:pubmed |
pubmed-article:7561128 | pubmed:volume | 185 | lld:pubmed |
pubmed-article:7561128 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:7561128 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:7561128 | pubmed:pagination | 181-90 | lld:pubmed |
pubmed-article:7561128 | pubmed:dateRevised | 2007-11-14 | lld:pubmed |
pubmed-article:7561128 | pubmed:meshHeading | pubmed-meshheading:7561128-... | lld:pubmed |
pubmed-article:7561128 | pubmed:meshHeading | pubmed-meshheading:7561128-... | lld:pubmed |
pubmed-article:7561128 | pubmed:meshHeading | pubmed-meshheading:7561128-... | lld:pubmed |
pubmed-article:7561128 | pubmed:meshHeading | pubmed-meshheading:7561128-... | lld:pubmed |
pubmed-article:7561128 | pubmed:meshHeading | pubmed-meshheading:7561128-... | lld:pubmed |
pubmed-article:7561128 | pubmed:year | 1995 | lld:pubmed |
pubmed-article:7561128 | pubmed:articleTitle | Prediction of binding to MHC class I molecules. | lld:pubmed |
pubmed-article:7561128 | pubmed:affiliation | Department of Molecular and Experimental Medicine, Scripps Research Institute, La Jolla, CA 92037, USA. | lld:pubmed |
pubmed-article:7561128 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:7561128 | pubmed:publicationType | In Vitro | lld:pubmed |
pubmed-article:7561128 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
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