Sulimov V B, Katkova E V, Oferkin I V, Sulimov A V, Romanov A N, Roschin A I, Beloglazova I B, Plekhanova O S, Tkachuk V A, Sadovnichiy V A
Research Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia ; Dimonta Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia.
Research Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia.
Biomed Res Int. 2014;2014:625176. doi: 10.1155/2014/625176. Epub 2014 May 20.
Urokinase-type plasminogen activator (uPA) plays an important role in the regulation of diverse physiologic and pathologic processes. Experimental research has shown that elevated uPA expression is associated with cancer progression, metastasis, and shortened survival in patients, whereas suppression of proteolytic activity of uPA leads to evident decrease of metastasis. Therefore, uPA has been considered as a promising molecular target for development of anticancer drugs. The present study sets out to develop the new selective uPA inhibitors using computer-aided structural based drug design methods. Investigation involves the following stages: computer modeling of the protein active site, development and validation of computer molecular modeling methods: docking (SOL program), postprocessing (DISCORE program), direct generalized docking (FLM program), and the application of the quantum chemical calculations (MOPAC package), search of uPA inhibitors among molecules from databases of ready-made compounds to find new uPA inhibitors, and design of new chemical structures and their optimization and experimental examination. On the basis of known uPA inhibitors and modeling results, 18 new compounds have been designed, calculated using programs mentioned above, synthesized, and tested in vitro. Eight of them display inhibitory activity and two of them display activity about 10 μM.
尿激酶型纤溶酶原激活剂(uPA)在多种生理和病理过程的调节中发挥着重要作用。实验研究表明,uPA表达升高与癌症进展、转移以及患者生存期缩短相关,而抑制uPA的蛋白水解活性会导致转移明显减少。因此,uPA被认为是开发抗癌药物的一个有前景的分子靶点。本研究着手使用基于计算机辅助结构的药物设计方法开发新型选择性uPA抑制剂。研究包括以下阶段:蛋白质活性位点的计算机建模、计算机分子建模方法的开发与验证(对接(SOL程序)、后处理(DISCORE程序)、直接广义对接(FLM程序)以及量子化学计算(MOPAC软件包)的应用)、从现成化合物数据库中搜索uPA抑制剂以找到新型uPA抑制剂、设计新的化学结构并对其进行优化以及实验检测。基于已知的uPA抑制剂和建模结果,设计了18种新化合物,使用上述程序进行计算,合成并进行体外测试。其中8种具有抑制活性,2种的活性约为10 μM。