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Docking-based 3D-QSAR study for selectivity of DPP4, DPP8, and DPP9 inhibitors

Authors :
Sung-Soo Kim
Chong Hak Chae
Nam Sook Kang
Sung-Eun Yoo
Jin Hee Ahn
Source :
Bioorganic & Medicinal Chemistry Letters. 17:3716-3721
Publication Year :
2007
Publisher :
Elsevier BV, 2007.

Abstract

In order to obtain information regarding the design of selective DPP4 inhibitors, a 3D-QSAR study was conducted using DPP4, DPP8, and DPP9 inhibitors including newly synthesized six- and seven-membered cyclic hydrazine derivatives (KR64300, KR64301), which were evaluated in vitro for their inhibition of DPP4, DPP8, and DPP9. In this study, a highly predictive CoMFA model based on the fast-docking for DPP4, DPP8, and DPP9 inhibitors was obtained. This reliable model showed leave-one-out cross-validation q(2) and conventional r(2) values of 0.68 and 0.96 for the DPP4 inhibitors, 0.58 and 0.98 for the DPP8 inhibitors, and 0.68 and 0.97 for the DPP9 inhibitors, respectively. The validation of the CoMFA model was confirmed by the compounds in the test set, including the synthesized six- and seven-membered cyclic hydrazines. According to this study, to obtain selective DPP4 inhibitors compared to their isozymes, the interaction of the inhibitors with the S3 site and S1' site in DPP4 must be considered. The proposed newly synthesized compounds, KR64300 and KR64301, interact well with the sites mentioned above, showing excellent selectivity.

Details

ISSN :
0960894X
Volume :
17
Database :
OpenAIRE
Journal :
Bioorganic & Medicinal Chemistry Letters
Accession number :
edsair.doi.dedup.....47e06465ff5cce8d87f221b1d850fdf1