Predicting protein interactions in human by homologous interactions in yeast

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dc.contributor.authorKim, Hko
dc.contributor.authorPark, Jko
dc.contributor.authorHan, Kko
dc.date.accessioned2013-03-03T18:23:43Z-
dc.date.available2013-03-03T18:23:43Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2003-
dc.identifier.citationADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING BOOK SERIES: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, v.2637, pp.159 - 165-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10203/79884-
dc.description.abstractAs the genes of the human genome become known, one of the challenges is to identify all their interactions. Protein interactions are known for several organisms due to recent improvements in the detection methods for protein interaction, but they are limited to low-order species only. Direct determination of all the interactions occurring between the complete set of human genes remains difficult, even with current large-scale detection methods for protein interaction. This paper presents protein interactions between all human genes using the concept of homologous interaction. We believe this is the first attempt to map a whole human interactome.-
dc.languageEnglish-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.subjectINTERACTION MAP-
dc.subjectDATABASE-
dc.titlePredicting protein interactions in human by homologous interactions in yeast-
dc.typeArticle-
dc.identifier.wosid000184716000016-
dc.identifier.scopusid2-s2.0-7444243253-
dc.type.rimsART-
dc.citation.volume2637-
dc.citation.beginningpage159-
dc.citation.endingpage165-
dc.citation.publicationnameADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING BOOK SERIES: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE-
dc.contributor.localauthorPark, J-
dc.contributor.nonIdAuthorKim, H-
dc.contributor.nonIdAuthorHan, K-
dc.type.journalArticleArticle; Proceedings Paper-
dc.subject.keywordPlusINTERACTION MAP-
dc.subject.keywordPlusDATABASE-
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