Dynamics of biological systems: role of systems biology in medical research

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dc.contributor.authorAssmus, Heike E.ko
dc.contributor.authorHerwig, Rolfko
dc.contributor.authorCho, Kwang-Hyunko
dc.contributor.authorWolkenhauer, Olafko
dc.date.accessioned2013-03-08T03:11:34Z-
dc.date.available2013-03-08T03:11:34Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2006-11-
dc.identifier.citationEXPERT REVIEW OF MOLECULAR DIAGNOSTICS, v.6, no.6, pp.891 - 902-
dc.identifier.issn1473-7159-
dc.identifier.urihttp://hdl.handle.net/10203/91955-
dc.description.abstractCellular systems are networks of interacting components that change with time in response to external and internal events. Studying the dynamic behavior of these networks is the basis for an understanding of cellular functions and disease mechanisms. Quantitative time-series data leading to meaningful models can improve our knowledge of human physiology in health and disease, and aid the search for earlier diagnoses, better therapies and a healthier life. The advent of systems biology is about to take the leap into clinical research and medical applications. This review emphasizes the importance of a dynamic view and understanding of cell function. We discuss the potential for computer-aided mathematical modeling of biological systems in medical research with examples from some of the major therapeutic areas: cancer, cardiovascular, diabetic and neurodegenerative medicine.-
dc.languageEnglish-
dc.publisherEXPERT REVIEWS-
dc.subjectGROWTH-FACTOR RECEPTOR-
dc.subjectDATA INTEGRATION METHODOLOGY-
dc.subjectPROTEIN INTERACTION NETWORK-
dc.subjectDRUG DISCOVERY-
dc.subjectSIGNAL-TRANSDUCTION-
dc.subjectMOLECULAR-BIOLOGY-
dc.subjectGENE-EXPRESSION-
dc.subjectCANCER GENES-
dc.subjectLIVING CELLS-
dc.subjectLUNG-CANCER-
dc.titleDynamics of biological systems: role of systems biology in medical research-
dc.typeArticle-
dc.identifier.wosid000242810100011-
dc.identifier.scopusid2-s2.0-33845466621-
dc.type.rimsART-
dc.citation.volume6-
dc.citation.issue6-
dc.citation.beginningpage891-
dc.citation.endingpage902-
dc.citation.publicationnameEXPERT REVIEW OF MOLECULAR DIAGNOSTICS-
dc.identifier.doi10.1586/14737159.6.6.891-
dc.contributor.localauthorCho, Kwang-Hyun-
dc.contributor.nonIdAuthorAssmus, Heike E.-
dc.contributor.nonIdAuthorHerwig, Rolf-
dc.contributor.nonIdAuthorWolkenhauer, Olaf-
dc.type.journalArticleReview-
dc.subject.keywordAuthorcomputer simulation-
dc.subject.keywordAuthordynamic-
dc.subject.keywordAuthorbehavior-
dc.subject.keywordAuthormathematical modeling-
dc.subject.keywordAuthorpredictive medicine-
dc.subject.keywordAuthorsystems biology-
dc.subject.keywordPlusGROWTH-FACTOR RECEPTOR-
dc.subject.keywordPlusDATA INTEGRATION METHODOLOGY-
dc.subject.keywordPlusPROTEIN INTERACTION NETWORK-
dc.subject.keywordPlusDRUG DISCOVERY-
dc.subject.keywordPlusSIGNAL-TRANSDUCTION-
dc.subject.keywordPlusMOLECULAR-BIOLOGY-
dc.subject.keywordPlusGENE-EXPRESSION-
dc.subject.keywordPlusCANCER GENES-
dc.subject.keywordPlusLIVING CELLS-
dc.subject.keywordPlusLUNG-CANCER-
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