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dc.contributor.authorPawson, Ten_US
dc.contributor.authorLinding, Ren_US
dc.date.accessioned2018-08-30T13:39:38Z
dc.date.issued2008-02-20en_US
dc.identifierhttps://doi.org/10.1016/j.febslet.2008.02.011en_US
dc.identifier.citationFEBS Letters, 2008, 582 (8), pp. 1266 - 1270en_US
dc.identifier.issn0014-5793en_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/2427
dc.identifier.doi10.1016/j.febslet.2008.02.011en_US
dc.description.abstractTo more effectively target complex diseases like cancer, diabetes and schizophrenia, we may need to rethink our strategies for drug development and the selection of molecular targets for pharmacological treatments. Here, we discuss the potential use of protein signaling networks as the targets for new therapeutic intervention. We argue that by targeting the architecture of aberrant signaling networks associated with cancer and other diseases new therapeutic strategies can be implemented. Transforming medicine into a network driven endeavour will require quantitative measurements of cell signaling processes; we will describe how this may be performed and combined with new algorithms to predict the trajectories taken by a cellular system either in time or through disease states. We term this approach, network medicine.en_US
dc.format.extent1266 - 1270en_US
dc.publisherWiley-Blackwellen_US
dc.subjectSystems biologyen_US
dc.subjectProteomicsen_US
dc.subjectQuantitative mass-spectrometryen_US
dc.subjectComputational biologyen_US
dc.subjectNetwork medicineen_US
dc.subjectNetwork biologyen_US
dc.titleNetwork medicineen_US
dc.typeJournal Article
rioxxterms.versionofrecord10.1016/j.febslet.2008.02.011en_US
rioxxterms.licenseref.startdate2008-02-20en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfFEBS Lettersen_US
pubs.issue8en_US
pubs.notesdoi: 10.1016/j.febslet.2008.02.011en_US
pubs.notesNot knownen_US
pubs.organisational-group/ICR
pubs.volume582en_US
pubs.embargo.termsNot knownen_US
dc.contributor.icrauthorLinding, Runeen_US


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