Kang Nam Sook, Ahn Jin Hee, Kim Sung Soo, Chae Chong Hak, Yoo Sung-Eun
Korea Research Institute of Chemical Technology, Yuseong-Gu, Daejeon 305-600, Republic of Korea.
Bioorg Med Chem Lett. 2007 Jul 1;17(13):3716-21. doi: 10.1016/j.bmcl.2007.04.031. Epub 2007 Apr 13.
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.
为了获取有关选择性二肽基肽酶4(DPP4)抑制剂设计的信息,开展了一项三维定量构效关系(3D-QSAR)研究,使用了DPP4、DPP8和DPP9抑制剂,包括新合成的六元及七元环状肼衍生物(KR64300、KR64301),这些化合物在体外对DPP4、DPP8和DPP9的抑制作用进行了评估。在本研究中,获得了一个基于快速对接的针对DPP4、DPP8和DPP9抑制剂的高度预测性比较分子场分析(CoMFA)模型。这个可靠的模型显示,对于DPP4抑制剂,留一法交叉验证q(2)值和传统r(2)值分别为0.68和0.96;对于DPP8抑制剂,分别为0.58和0.98;对于DPP9抑制剂,分别为0.68和0.97。CoMFA模型的有效性通过测试集中的化合物得到了证实,包括合成的六元及七元环状肼。根据本研究,为了获得与同功酶相比具有选择性的DPP4抑制剂,必须考虑抑制剂与DPP4中S3位点和S1'位点的相互作用。所提出的新合成化合物KR64300和KR64301与上述位点相互作用良好,显示出优异的选择性。