Background:
Peroxisome proliferator-activated receptor gamma (PPARγ) is one of the
key targets of insulin resistance research, in addition to being ligand-activated transcription factors
of the nuclear hormone receptor superfamily with a leading role in adiposeness activation and
insulin sensitivity. They regulate cholesterol and carbohydrate metabolism through direct actions
on gene expression. Despite their therapeutic importance, there are dose limiting side effects
associated with PPARγ drug treatments, thus a new generation of safer PPARγ drugs are being
actively sought after treatment.
Methods:
In this study, we used computer aided drug design to screen new series of PPARγ
ligands, and synthesized a series of potential thiazolidinedione derivatives such as 5,7-
dibenzyloxybenzyl-3-hydroxymethyl-4H-coumarin-4-ketone, using 4-steps to synthesize the target
compounds and built streptozotocin (STZ) induced insulin resistance rat model to measure their
antidiabetic activity.
Results:
We found that 10 mg/kg concentration of compound 0701C could significantly decrease
blood glucose and serum PPARγ, serum insulin levels in insulin resistance model rat.
Conclusion:
We would conclude that compound 0701C might serve as a potential PPARγ partial
agonist.
This paper focuses the concept of data mIll mg and association rules mining algorithm. Apriori algorithm and FP-growth algorithm, which are well-known and important data mining algorithms, are studied. According to the Apriori algorithm for weighted multidimensional data mining, this paper provides an optimized method which searches the candidate itemsets avoiding to scan the database repeatedly in order to improve the efficiency of data mining. The rule analysis on the achievement of senior students of a certain middle school is used for evaluation of the algorithm.
K2S2O8. -The reaction tolerates various functional groups in both partners and affords 2-arylbenzothiazoles in moderate to good yields. -(WANG*, R.; AN, C.-H.; LI, Y.; ZHAO, Y.; WANG, T.; LI, A.; Tetrahedron Lett. 56 (2015) 16, 2077-2082, http://dx.
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