Zhang Yufen, Lukacova Viera, Bartus Vladimir, Nie Xiaoping, Sun Guorong, Manivannan Ethirajan, Ghorpade Sandeep R, Jin Xiaomin, Manyem Shankar, Sibi Mukund P, Cook Gregory R, Balaz Stefan
Department of Pharmaceutical Sciences and Center for Protease Research, North Dakota State University, Fargo, ND 58105, USA.
Chem Biol Drug Des. 2008 Oct;72(4):237-48. doi: 10.1111/j.1747-0285.2008.00710.x.
Binding to the extracellular matrix, one of the most abundant human protein complexes, significantly affects drug disposition. Specifically, the interactions with extracellular matrix determine the free concentrations of small molecules acting in tissues, including signaling peptides, inhibitors of tissue remodeling enzymes such as matrix metalloproteinases, and other drug candidates. The nature of extracellular matrix binding was elucidated for 63 matrix metalloproteinase inhibitors, for which the association constants to an extracellular matrix mimic were reported here. The data did not correlate with lipophilicity as a common determinant of structure-nonspecific, orientation-averaged binding. A hypothetical structure of the binding site of the solidified extracellular matrix surrogate was analyzed using the Comparative Molecular Field Analysis, which needed to be applied in our multi-mode variant. This fact indicates that the compounds bind to extracellular matrix in multiple modes, which cannot be considered as completely orientation-averaged and exhibit structural dependence. The novel comparative molecular field analysis models, exhibiting satisfactory descriptive and predictive abilities, are suitable for prediction of the extracellular matrix binding for the untested chemicals, which are within applicability domains. The results contribute to a better prediction of the pharmacokinetic parameters such as the distribution volume and the tissue-blood partition coefficients, in addition to a more imminent benefit for the development of more effective matrix metalloproteinase inhibitors.
与细胞外基质(人类最丰富的蛋白质复合物之一)结合会显著影响药物处置。具体而言,与细胞外基质的相互作用决定了作用于组织的小分子的游离浓度,包括信号肽、组织重塑酶(如基质金属蛋白酶)的抑制剂以及其他候选药物。本文报道了63种基质金属蛋白酶抑制剂与细胞外基质模拟物的结合常数,从而阐明了它们与细胞外基质结合的性质。这些数据与作为结构非特异性、取向平均结合的常见决定因素的亲脂性无关。使用比较分子场分析对固化的细胞外基质替代物结合位点的假设结构进行了分析,该分析需要应用我们的多模式变体。这一事实表明,化合物以多种模式与细胞外基质结合,不能被视为完全取向平均的,并且表现出结构依赖性。新的比较分子场分析模型具有令人满意的描述和预测能力,适用于预测适用范围内未测试化学品的细胞外基质结合情况。这些结果有助于更好地预测药代动力学参数,如分布容积和组织 - 血液分配系数,此外,对于开发更有效的基质金属蛋白酶抑制剂也有更直接的益处。