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A Rational Approach to Personalized Anticancer Therapy: Chemoinformatic Analysis Reveals Mechanistic Gene-Drug Associations

dc.contributor.authorDrach, John C.en_US
dc.contributor.authorShedden, Kerby A.en_US
dc.contributor.authorTownsend, Leroy B.en_US
dc.contributor.authorRosania, Gustavo R.en_US
dc.date.accessioned2006-09-08T19:19:23Z
dc.date.available2006-09-08T19:19:23Z
dc.date.issued2003-06en_US
dc.identifier.citationShedden, Kerby; Townsend, Leroy B.; Drach, John C.; Rosania, Gustavo R.; (2003). "A Rational Approach to Personalized Anticancer Therapy: Chemoinformatic Analysis Reveals Mechanistic Gene-Drug Associations." Pharmaceutical Research 20(6): 843-847. <http://hdl.handle.net/2027.42/41497>en_US
dc.identifier.issn1573-904Xen_US
dc.identifier.issn0724-8741en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/41497
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=12817886&dopt=citationen_US
dc.description.abstractPurpose . To predict the response of cells to chemotherapeutic agents based on gene expression profiles, we performed a chemoinformatic study of a set of standard anticancer agents assayed for activity against a panel of 60 human tumor-derived cell lines from the Developmental Therapeutics Program (DTP) at the National Cancer Institute (NCI).en_US
dc.format.extent124328 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherTranscriptional Profilingen_US
dc.subject.otherCanceren_US
dc.subject.otherBiomedical Engineeringen_US
dc.subject.otherPharmacology/Toxicologyen_US
dc.subject.otherMedical Lawen_US
dc.subject.otherBiochemistry, Generalen_US
dc.subject.otherBiomedicineen_US
dc.subject.otherMicroarrayen_US
dc.subject.otherAdenosine Kinaseen_US
dc.subject.otherTriciribine Phosphateen_US
dc.subject.otherChemoinformaticsen_US
dc.subject.otherPharmacyen_US
dc.subject.otherProdrugen_US
dc.titleA Rational Approach to Personalized Anticancer Therapy: Chemoinformatic Analysis Reveals Mechanistic Gene-Drug Associationsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPharmacy and Pharmacologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Pharmaceutical Sciences, College of Pharmacy, The University of Michigan, 428 Church Street, Ann Arbor, Michigan, 48109en_US
dc.contributor.affiliationumDepartment of Medicinal Chemistry, College of Pharmacy, The University of Michigan, 428 Church Street, Ann Arbor, Michigan, 48109en_US
dc.contributor.affiliationumDepartment of Statistics, The University of Michigan, 428 Church Street, Ann Arbor, Michigan, 48109en_US
dc.contributor.affiliationumDepartment of Medicinal Chemistry, College of Pharmacy, The University of Michigan, 428 Church Street, Ann Arbor, Michigan, 48109; Department of Biologic and Materials Science, School of Dentistry, The University of Michigan, 428 Church Street, Ann Arbor, Michigan, 48109en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid12817886en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/41497/1/11095_2004_Article_465512.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1023893700386en_US
dc.identifier.sourcePharmaceutical Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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