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基于吡咯酮的金属蛋白酶 2 和 3 的抑制剂可能作为构象选择性抑制剂发挥作用。

Pyrone-based inhibitors of metalloproteinase types 2 and 3 may work as conformation-selective inhibitors.

机构信息

Howard Hughes Medical Institute, Center for Theoretical Biological Physics, Department of Chemistry & Biochemistry, University of California at San Diego, La Jolla, CA 92093-0365, USA.

出版信息

Chem Biol Drug Des. 2011 Aug;78(2):191-8. doi: 10.1111/j.1747-0285.2011.01148.x. Epub 2011 Jun 20.

Abstract

Matrix metalloproteinases are zinc-containing enzymes capable of degrading all components of the extracellular matrix. Owing to their role in human disease, matrix metalloproteinase have been the subject of extensive study. A bioinorganic approach was recently used to identify novel inhibitors based on a maltol zinc-binding group, but accompanying molecular-docking studies failed to explain why one of these inhibitors, AM-6, had approximately 2500-fold selectivity for MMP-3 over MMP-2. A number of studies have suggested that the matrix-metalloproteinase active site is highly flexible, leading some to speculate that differences in active-site flexibility may explain inhibitor selectivity. To extend the bioinorganic approach in a way that accounts for MMP-2 and MMP-3 dynamics, we here investigate the predicted binding modes and energies of AM-6 docked into multiple structures extracted from matrix-metalloproteinase molecular dynamics simulations. Our findings suggest that accounting for protein dynamics is essential for the accurate prediction of binding affinity and selectivity. Additionally, AM-6 and other similar inhibitors likely select for and stabilize only a subpopulation of all matrix-metalloproteinase conformations sampled by the apo protein. Consequently, when attempting to predict ligand affinity and selectivity using an ensemble of protein structures, it may be wise to disregard protein conformations that cannot accommodate the ligand.

摘要

基质金属蛋白酶是含有锌的酶,能够降解细胞外基质的所有成分。由于它们在人类疾病中的作用,基质金属蛋白酶一直是广泛研究的对象。最近,一种生物无机方法被用于基于麦芽酚锌结合基团来识别新型抑制剂,但是伴随的分子对接研究未能解释为什么这些抑制剂之一的 AM-6 对 MMP-3 的选择性约为 MMP-2 的 2500 倍。许多研究表明,基质金属蛋白酶的活性位点具有高度的灵活性,这使得一些人推测活性位点灵活性的差异可能解释了抑制剂的选择性。为了以考虑 MMP-2 和 MMP-3 动力学的方式扩展生物无机方法,我们在此研究了从基质金属蛋白酶分子动力学模拟中提取的多个结构中 AM-6 的预测结合模式和能量。我们的研究结果表明,考虑蛋白质动力学对于准确预测结合亲和力和选择性至关重要。此外,AM-6 和其他类似的抑制剂可能只选择和稳定由 apo 蛋白采样的所有基质金属蛋白酶构象的一个亚群。因此,当试图使用蛋白质结构的集合来预测配体亲和力和选择性时,忽略不能容纳配体的蛋白质构象可能是明智的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77c2/3494309/168eb725aeba/cbdd0078-0191-f1.jpg

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