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2006

Computational Inference of Compound-induced Anti-inflammatory Effects Across Time in an Adjuvant-induced Arthritis Rat Model

10 years 3 months ago
Computational Inference of Compound-induced Anti-inflammatory Effects Across Time in an Adjuvant-induced Arthritis Rat Model
A number of diseases, such as arthritis and cardiovascular disorders impacting the lives of many people have strong inflammatory components. To elucidate the antiinflammatory mechanism of a Novartis compound, time-course gene expression data were collected from joint tissue in an adjuvant-induced arthritis rat model, with and without compound treatment. The gene expression data were then analyzed using a dynamic Bayesian network (DBN) inference algorithm. Due to the nature of the biological experiments, a prescreening method to select a gene list and a data pair-up method to prepare the data were developed prior to applying DBN. From the inference analysis, a well-known cell adhesion molecule implicated in several inflammatory diseases was suggested as a potential direct target of the compound. In addition, a biologically plausible downstream pathway, modulated by the compound, was revealed. Experimental validation studies to confirm the compound direct target are in progress.
Jing Yu, Gabriel Helmlinger, Muriel Saulnier, Anna
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where BIOCOMP
Authors Jing Yu, Gabriel Helmlinger, Muriel Saulnier, Anna Georgieva
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