pubmed-article:18719252 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:18719252 | lifeskim:mentions | umls-concept:C0043393 | lld:lifeskim |
pubmed-article:18719252 | lifeskim:mentions | umls-concept:C1882071 | lld:lifeskim |
pubmed-article:18719252 | lifeskim:mentions | umls-concept:C0971869 | lld:lifeskim |
pubmed-article:18719252 | lifeskim:mentions | umls-concept:C1706942 | lld:lifeskim |
pubmed-article:18719252 | pubmed:issue | 5898 | lld:pubmed |
pubmed-article:18719252 | pubmed:dateCreated | 2008-10-3 | lld:pubmed |
pubmed-article:18719252 | pubmed:abstractText | Current yeast interactome network maps contain several hundred molecular complexes with limited and somewhat controversial representation of direct binary interactions. We carried out a comparative quality assessment of current yeast interactome data sets, demonstrating that high-throughput yeast two-hybrid (Y2H) screening provides high-quality binary interaction information. Because a large fraction of the yeast binary interactome remains to be mapped, we developed an empirically controlled mapping framework to produce a "second-generation" high-quality, high-throughput Y2H data set covering approximately 20% of all yeast binary interactions. Both Y2H and affinity purification followed by mass spectrometry (AP/MS) data are of equally high quality but of a fundamentally different and complementary nature, resulting in networks with different topological and biological properties. Compared to co-complex interactome models, this binary map is enriched for transient signaling interactions and intercomplex connections with a highly significant clustering between essential proteins. Rather than correlating with essentiality, protein connectivity correlates with genetic pleiotropy. | lld:pubmed |
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pubmed-article:18719252 | pubmed:language | eng | lld:pubmed |
pubmed-article:18719252 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:18719252 | pubmed:citationSubset | IM | lld:pubmed |
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pubmed-article:18719252 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:18719252 | pubmed:month | Oct | lld:pubmed |
pubmed-article:18719252 | pubmed:issn | 1095-9203 | lld:pubmed |
pubmed-article:18719252 | pubmed:author | pubmed-author:SnyderMichael... | lld:pubmed |
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