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基质金属蛋白酶-13中催化锌(II)离子的分子识别:基于结构的变构抑制剂向具有改善亲脂性配体效率的双结合模式抑制剂的进化。

Molecular Recognition of the Catalytic Zinc(II) Ion in MMP-13: Structure-Based Evolution of an Allosteric Inhibitor to Dual Binding Mode Inhibitors with Improved Lipophilic Ligand Efficiencies.

作者信息

Fischer Thomas, Riedl Rainer

机构信息

Center for Organic and Medicinal Chemistry, Institute of Chemistry and Biotechnology, Zurich University of Applied Sciences ZHAW, Einsiedlerstrasse 31, 8820 Wädenswil, Switzerland.

出版信息

Int J Mol Sci. 2016 Mar 1;17(3):314. doi: 10.3390/ijms17030314.

Abstract

Matrix metalloproteinases (MMPs) are a class of zinc dependent endopeptidases which play a crucial role in a multitude of severe diseases such as cancer and osteoarthritis. We employed MMP-13 as the target enzyme for the structure-based design and synthesis of inhibitors able to recognize the catalytic zinc ion in addition to an allosteric binding site in order to increase the affinity of the ligand. Guided by molecular modeling, we optimized an initial allosteric inhibitor by addition of linker fragments and weak zinc binders for recognition of the catalytic center. Furthermore we improved the lipophilic ligand efficiency (LLE) of the initial inhibitor by adding appropriate zinc binding fragments to lower the clogP values of the inhibitors, while maintaining their potency. All synthesized inhibitors showed elevated affinity compared to the initial hit, also most of the novel inhibitors displayed better LLE. Derivatives with carboxylic acids as the zinc binding fragments turned out to be the most potent inhibitors (compound 3 (ZHAWOC5077): IC50 = 134 nM) whereas acyl sulfonamides showed the best lipophilic ligand efficiencies (compound 18 (ZHAWOC5135): LLE = 2.91).

摘要

基质金属蛋白酶(MMPs)是一类锌依赖性内肽酶,在多种严重疾病如癌症和骨关节炎中起关键作用。我们将MMP-13用作基于结构的设计和抑制剂合成的靶标酶,这些抑制剂除了能识别变构结合位点外,还能识别催化锌离子,以提高配体的亲和力。在分子模拟的指导下,我们通过添加连接片段和弱锌结合剂来优化初始变构抑制剂,以识别催化中心。此外,我们通过添加适当的锌结合片段来提高初始抑制剂的亲脂性配体效率(LLE),以降低抑制剂的clogP值,同时保持其效力。与初始命中物相比,所有合成的抑制剂均显示出更高的亲和力,大多数新型抑制剂也表现出更好的LLE。以羧酸作为锌结合片段的衍生物是最有效的抑制剂(化合物3(ZHAWOC5077):IC50 = 134 nM),而酰基磺酰胺显示出最佳的亲脂性配体效率(化合物18(ZHAWOC5135):LLE = 2.91)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c6e/4813177/05294ff4afb7/ijms-17-00314-g001.jpg

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