Dipartimento di Farmacia, Università "G. d'Annunzio", Chieti, Via dei Vestini 31, 66013, Chieti, Italy.
EDASA Scientific srls, Via Stingi 37, 66050, San Salvo, Italy.
ChemMedChem. 2016 Sep 6;11(17):1892-8. doi: 10.1002/cmdc.201600266. Epub 2016 Jul 15.
Matrix metalloproteinases (MMPs) are well-established targets for several pathologies. In particular, MMP-2 and MMP-13 play a prominent role in cancer progression. In this study, a structure-based screening campaign was applied to prioritize metalloproteinase-oriented fragments. This computational model was applied to a representative fragment set from the publically available EDASA Scientific compound library. These fragments were prioritized, and the top-ranking hits were tested in a biological assay to validate the model. Two scaffolds showed consistent activity in the assay, and the isatin-based compounds were the most interesting. These latter fragments have significant potential as tools for the design and realization of novel MMP inhibitors. In addition to their micromolar activity, the chemical synthesis affords flexible and creative access to their analogues.
基质金属蛋白酶(MMPs)是多种病理学的既定靶点。特别是,MMP-2 和 MMP-13 在癌症进展中发挥着突出的作用。在这项研究中,应用基于结构的筛选活动来优先考虑针对金属蛋白酶的片段。该计算模型应用于公开可用的 EDASA 科学化合物库中的代表性片段集。对这些片段进行了优先级排序,并在生物测定中测试了排名靠前的命中物,以验证该模型。有两个支架在测定中表现出一致的活性,而基于靛红的化合物最有趣。这些后续片段具有作为设计和实现新型 MMP 抑制剂的工具的巨大潜力。除了具有微摩尔活性外,化学合成还为它们的类似物提供了灵活和创造性的途径。