title: The application of shannon entropy in the identification of putative drug targets.
abstract: A major challenge in the field of functional genomics is the development of computational techniques for organizing and interpreting large amounts of gene expression data. These methods will be critical for the discovery of new therapeutic drug targets. Here, we present a simple method for determining the most likely drug target candidates from temporal gene expression patterns assayed with reverse-transcription polymerase chain reaction (RT-PCR) and DNA microarrays.
authors.affiliation: Neurobiology Department, Incyte Pharmaceuticals Inc., 3174 Porter Drive, Palo Alto, CA 94304, USA. sfuhrman@incyte.com
authors.forename: S
authors.initials: S
authors.lastname: Fuhrman
authors.forename: M J
authors.initials: MJ
authors.lastname: Cunningham
authors.forename: X
authors.initials: X
authors.lastname: Wen
authors.forename: G
authors.initials: G
authors.lastname: Zweiger
authors.forename: J J
authors.initials: JJ
authors.lastname: Seilhamer
authors.forename: R
authors.initials: R
authors.lastname: Somogyi
mesh_terms: D000818:Animals; D015870:Gene Expression; D012333:RNA, Messenger / Q000235:genetics; D051381:Rats; D011955:Receptors, Drug / Q000187:drug effects* / Q000235:genetics; D020133:Reverse Transcriptase Polymerase Chain Reaction / Q000379:methods*; D013116:Spinal Cord / Q000378:metabolism; D013816:Thermodynamics
chemical_list: D012333:RNA, Messenger; D011955:Receptors, Drug