The application of Shannon entropy in the identification of putative drug targets

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 determini...

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Published inBioSystems Vol. 55; no. 1; pp. 5 - 14
Main Authors Fuhrman, Stefanie, Cunningham, Mary Jane, Wen, Xiling, Zweiger, Gary, Seilhamer, Jeffrey J, Somogyi, Roland
Format Journal Article
LanguageEnglish
Published Ireland Elsevier Ireland Ltd 01.02.2000
Subjects
Animals
Drug development
Gene Expression
Genomics
Information theory
Microarrays
PCR
Rats
Receptors, Drug - drug effects
Receptors, Drug - genetics
Reverse Transcriptase Polymerase Chain Reaction - methods
RNA, Messenger - genetics
Spinal Cord - metabolism
Thermodynamics
Drug development
Gene expression
Microarrays
Genomics
PCR
Information theory
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0303-2647
1872-8324
DOI:10.1016/S0303-2647(99)00077-5