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dc.contributor.authorErler, JT
dc.contributor.authorLinding, R
dc.date.accessioned2018-08-24T08:25:09Z
dc.date.issued2010-01
dc.identifier.citationThe Journal of pathology, 2010, 220 (2), pp. 290 - 296
dc.identifier.issn0022-3417
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/2376
dc.identifier.eissn1096-9896
dc.identifier.doi10.1002/path.2646
dc.description.abstractThe structure and dynamics of protein signalling networks governs cell decision processes and the formation of tissue boundaries. Complex diseases such as cancer and diabetes are diseases of such networks. Therefore approaches that can give insight into how these networks change during disease progression are crucial for better understanding, detection and intervention. The era of network medicine has begun; however, there are fundamental principles associated with molecular networks that are essential to consider for this field to succeed. Here, we introduce network biology and some of its associated technologies. We then focus on the multivariate nature of cellular networks and how this has implications for biomarker and drug discovery using cancer metastasis as an example.
dc.formatPrint
dc.format.extent290 - 296
dc.languageeng
dc.language.isoeng
dc.subjectHumans
dc.subjectNeoplasm Metastasis
dc.subjectAntineoplastic Agents
dc.subjectSystems Biology
dc.subjectSignal Transduction
dc.subjectModels, Biological
dc.subjectDrug Discovery
dc.subjectBiomarkers
dc.titleNetwork-based drugs and biomarkers.
dc.typeJournal Article
rioxxterms.versionofrecord10.1002/path.2646
rioxxterms.licenseref.startdate2010-01
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfThe Journal of pathology
pubs.issue2
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR
pubs.publication-statusPublished
pubs.volume220
pubs.embargo.termsNot known
dc.contributor.icrauthorErler, Janine Terraen
dc.contributor.icrauthorLinding, Runeen


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