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A particular CYP might act on more than one substrate with differing affinities and a competition between substrates could lead to a decreased metabolism of one or more substrates. CYP3A4 is approximately 60 times more efficient in metabolizing Perospirone compared to CYP2C8 and 10 times more efficient compared to CYP2D6.
Pro-inflammatory cytokines that are produced predominantly by activated immune cells such as microglia and involved in the amplification of inflammatory reactions form interesting targets in many inflammatory conditions.
Some of the most common cytokines targeted in various disease conditions include TNF, Il6 and IL8. This study aims at identifying various molecules that could target inhibit these cytokines and hence could be of therapeutic significance.
The two highly related nuclear proteins CREB binding protein (CBP or CREBBP) and p300 are co-activators that possess histone acetyltransferase activity. We have used literature mining successfully to unravel various biological processes and provide a concise view of regulation of the physiological networks. In this study of network analysis using MINE we show CBP as a molecular integrator of hematopoietic differentiation. Several transcription factor nodes through which the master regulatory cofactor CBP binds and modulates the expression or activity of downstream genes involved in erythrocyte differentiation have been elucidated.
The analysis is aimed at generating an interaction network depicting the plausible molecular events leading to the development of the disease condition and narrowing down on molecules that might be important targets or therapeutic agents for this disease, based on the network generated. Towards this end, hand curated data from a commercially available bi-molecular interaction database NetPro™ that contains protein-protein and protein-small molecule interactions, was used to understand interaction network(s) of a set of genes, specifically shown to be differentially regulated in Alzheimer disease patients in a microarray study done by Colangelo V et al (2002).
A survey analysis of potentially important plasma protein concentrations compiled in the database has allowed us to identify and validate potential biomarker-disease associations. Most importantly, protein variant forms could also be associated with a disease condition. These include oligomeric status, cleavage products, genetic variants, splice variants, alternate glycoforms etc. A frequently asked question with respect to changes in posttranslational modification patterns such as glycosylation and its association with a particular disease has been addressed in our analysis.