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基质金属蛋白酶选择性前药的合理化计算机辅助设计

Rationalized Computer-Aided Design of Matrix-Metalloprotease-Selective Prodrugs.

作者信息

Jain Mohit, Harburn J Jonathan, Gill Jason H, Loadman Paul M, Falconer Robert A, Mooney Caitlin A, Cobb Steven L, Berry David J

机构信息

School of Medicine, Pharmacy and Health, Durham University , Queen's Campus, Stockton on Tees, TS17 6BH, U.K.

Institute of Cancer Therapeutics, ICT Building, University of Bradford , Bradford, BD7 1DP, U.K.

出版信息

J Med Chem. 2017 May 25;60(10):4496-4502. doi: 10.1021/acs.jmedchem.6b01472. Epub 2017 May 10.

Abstract

Matrix metalloproteinases (MMPs) are central to cancer development and metastasis. They are highly active in the tumor environment and absent or inactive in normal tissues; therefore they represent viable targets for cancer drug discovery. In this study we evaluated in silico docking to develop MMP-subtype-selective tumor-activated prodrugs. Proof of principle for this therapeutic approach was demonstrated in vitro against an aggressive human glioma model, with involvement of MMPs confirmed using pharmacological inhibition.

摘要

基质金属蛋白酶(MMPs)在癌症发展和转移过程中起着核心作用。它们在肿瘤环境中高度活跃,而在正常组织中不存在或无活性;因此,它们是癌症药物研发的可行靶点。在本研究中,我们通过计算机对接技术评估,以开发MMP亚型选择性肿瘤激活前体药物。这种治疗方法的原理证明在体外针对侵袭性人类胶质瘤模型得到了验证,通过药理学抑制证实了MMPs的参与。

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