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一种通过虚拟筛选方法开发的新型氨基肽酶 N 抑制剂。

A novel aminopeptidase N inhibitor developed by virtual screening approach.

机构信息

Shandong Analysis and Test Center, Shandong Academy of Sciences, Jinan, Shandong 250014, China.

出版信息

Bioorg Med Chem Lett. 2012 Sep 15;22(18):5863-9. doi: 10.1016/j.bmcl.2012.07.086. Epub 2012 Aug 1.

Abstract

A virtual screening was performed to discover novel lead structures as potent aminopeptidase N(APN) inhibitors. A commercial database containing about 1,60,000 molecules in SPECS was filtered by rule of five, zinc binding groups, pharmacophore models and binding pattern analysis. At last, 24 molecules were selected for enzyme inhibition assay and compound 2 exhibited the inhibition constant (K(i)) of 2.79±0.32 μM against APN compared with Bestatin (K(i)= 3.37±0.24 μM). Our results indicated that compound 2 exhibited good antiproliferative activities against a broad spectrum of human cancer cell lines, and induced cell cycle arrest at G1 phase and eventual apoptosis. Moreover, compound 2 can inhibit the invasion of MDA-MB-231 cells. In summary, our results suggest that compound 2, a potent APN inhibitor, is worthy of further development.

摘要

进行了虚拟筛选,以发现新型的作为有效氨肽酶 N(APN)抑制剂的先导结构。通过规则五、锌结合基团、药效团模型和结合模式分析,对 SPECS 中约 160000 种分子的商业数据库进行了筛选。最后,选择了 24 种分子进行酶抑制测定,化合物 2 对 APN 的抑制常数(K(i))为 2.79±0.32 μM,而 Bestatin(K(i)= 3.37±0.24 μM)。我们的结果表明,化合物 2 对广泛的人类癌细胞系表现出良好的抗增殖活性,并诱导 G1 期细胞周期停滞和最终凋亡。此外,化合物 2 可以抑制 MDA-MB-231 细胞的侵袭。总之,我们的结果表明,作为一种有效的 APN 抑制剂,化合物 2 值得进一步开发。

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