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通过分子对接结合分子动力学研究 IVA 胞质型磷脂酶 A2 与 2-氧代酰胺抑制剂的结合构象。

Binding conformation of 2-oxoamide inhibitors to group IVA cytosolic phospholipase A2 determined by molecular docking combined with molecular dynamics.

机构信息

Laboratory of Organic Chemistry, Department of Chemistry, University of Athens, Panepistimiopolis, Athens 15771, Greece.

出版信息

J Chem Inf Model. 2012 Jan 23;52(1):243-54. doi: 10.1021/ci2005093. Epub 2012 Jan 10.

Abstract

The group IVA cytosolic phospholipase A(2) (GIVA cPLA(2)) plays a central role in inflammation. Long chain 2-oxoamides constitute a class of potent GIVA cPLA(2) inhibitors that exhibit potent in vivo anti-inflammatory and analgesic activity. We have now gained insight into the binding of 2-oxoamide inhibitors in the GIVA cPLA(2) active site through a combination of molecular docking calculations and molecular dynamics simulations. Recently, the location of the 2-oxoamide inhibitor AX007 within the active site of the GIVA cPLA(2) was determined using a combination of deuterium exchange mass spectrometry followed by molecular dynamics simulations. After the optimization of the AX007-GIVA cPLA(2) complex using the docking algorithm Surflex-Dock, a series of additional 2-oxoamide inhibitors have been docked in the enzyme active site. The calculated binding affinity presents a good statistical correlation with the experimental inhibitory activity (r(2) = 0.76, N = 11). A molecular dynamics simulation of the docking complex of the most active compound has revealed persistent interactions of the inhibitor with the enzyme active site and proves the stability of the docking complex and the validity of the binding suggested by the docking calculations. The combination of molecular docking calculations and molecular dynamics simulations is useful in defining the binding of small-molecule inhibitors and provides a valuable tool for the design of new compounds with improved inhibitory activity against GIVA cPLA(2).

摘要

IV 组胞质型 PLA2(GIVA cPLA2)在炎症中起着核心作用。长链 2-氧代酰胺构成了一类有效的 GIVA cPLA2 抑制剂,具有有效的体内抗炎和镇痛活性。我们现在通过分子对接计算和分子动力学模拟的组合,深入了解了 2-氧代酰胺抑制剂在 GIVA cPLA2 活性部位的结合情况。最近,通过氘交换质谱法结合分子动力学模拟确定了 2-氧代酰胺抑制剂 AX007 在 GIVA cPLA2 活性部位的位置。在用对接算法 Surflex-Dock 优化 AX007-GIVA cPLA2 复合物后,已在酶活性部位对接了一系列其他 2-氧代酰胺抑制剂。计算出的结合亲和力与实验抑制活性呈良好的统计学相关性(r2 = 0.76,N = 11)。对接复合物的分子动力学模拟揭示了抑制剂与酶活性部位的持续相互作用,并证明了对接复合物的稳定性和对接计算所建议的结合的有效性。分子对接计算和分子动力学模拟的结合可用于定义小分子抑制剂的结合,并为设计具有改善的 GIVA cPLA2 抑制活性的新型化合物提供了有价值的工具。

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