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Synthesis, Anti-inflammatory Activity and Docking Studies of Some Newer 1,3-Thiazolidine-2,4-dione Derivatives as Dual Inhibitors of PDE4 and PDE7.

Authors :
Sharma H
Lather V
Grewal AS
Pandita D
Source :
Current computer-aided drug design [Curr Comput Aided Drug Des] 2019; Vol. 15 (3), pp. 225-234.
Publication Year :
2019

Abstract

Background: Phosphodiesterase 4 (PDE4) and phosphodiesterase 7 (PDE7), PDE superfamily members, increase inflammatory processes in immunomodulatory as well as pro-inflammatory cells via breakdown of cyclic adenosine monophosphate. Dual inhibitors of PDE4 and PDE7 are a novel class of drug candidates which can regulate pro-inflammatory as well as T-cell function and can be particularly advantageous in the treatment of a wide-ranging disorders associated with the immune system as well as inflammatory diseases with fewer unwanted adverse effects.<br />Objective: The current research work was planned to design and synthesize some newer substituted 1,3- thiazolidine-2,4-dione derivatives as dual inhibitors of PDE4 and PDE7 followed by evaluation of their anti-inflammatory activity and in silico docking studies.<br />Methods: A new series of substituted 1,3-thiazolidine-2,4-dione derivatives was synthesized followed by evaluation of their anti-inflammatory activity in animal models. In silico docking studies were performed for the evaluation of the binding pattern of synthesized derivatives in the binding site of both PDE4 and PDE7 proteins.<br />Results: Amongst the newly synthesized derivatives, compounds 5 and 12 showed higher antiinflammatory activity in the animal model. The results of in vivo animal studies were found to be in concordance with the results of molecular docking studies.<br />Conclusion: These newly synthesized derivatives can act as the lead molecules for the design of safe and therapeutically effective agents for various inflammatory diseases acting via inhibition of both PDE4 and PDE7.<br /> (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Details

Language :
English
ISSN :
1875-6697
Volume :
15
Issue :
3
Database :
MEDLINE
Journal :
Current computer-aided drug design
Publication Type :
Academic Journal
Accession number :
30280674
Full Text :
https://doi.org/10.2174/1573409914666181003151528