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E-选择素复合物中碳水化合物识别过程的计算建模:唾液酸化路易斯 X 结构映射到从头 QM/MM 自由能表面。

Computational modeling of carbohydrate-recognition process in E-selectin complex: structural mapping of sialyl Lewis X onto ab initio QM/MM free energy surface.

机构信息

Research Institute for Computational Sciences, 1-1-1 Umezono, Tsukuba, 305-8568, Japan.

出版信息

J Phys Chem B. 2010 Mar 25;114(11):3950-64. doi: 10.1021/jp905872t.

Abstract

To advance our knowledge of carbohydrate recognition by lectins, we propose a systematic computational modeling strategy to identify complex sugar-chain conformations on the reduced free energy surface (FES). We selected the complex of E-selectin with sialyl Lewis X (denoted E-selectin/SLe(x) complex) as a first target molecule. First, we introduced the reduced 2D-FES that characterizes conformational changes in carbohydrate structure as well as the degree of solvation stability of the carbohydrate ligand, and evaluated the overall free energy profile by classical molecular dynamics simulation combined with ab initio QM/MM energy corrections. Second, we mapped flexible carbohydrate structures onto the reduced QM/MM 2D-FES, and identified the details of molecular interactions between each monosaccharide component and the amino acid residues at the carbohydrate-recognition domain. Finally, we confirmed the validity of our modeling strategy by evaluating the chemical shielding tensor by ab initio QM/MM-GIAO computations for several QM/MM-refined geometries sampled from the minimum free energy region in the 2D-FES, and compared this theoretical averaging data with the experimental 1D-NMR profile. The model clearly shows that the binding geometries of the E-selectin/SLe(x) complex are determined not by one single, rigid carbohydrate structure but rather by the sum of averaged conformations fluctuating around the minimum free energy region. For the E-selectin/SLe(x) complex, the major molecular interactions are hydrogen bonds between Fuc and the Ca(2+) binding site in the carbohydrate-recognition domain, and Gal is important in determining the ligand specificity.

摘要

为了深入了解凝集素对碳水化合物的识别,我们提出了一种系统的计算建模策略,以在简化的自由能表面(FES)上识别复杂的糖链构象。我们选择 E-选择素与唾液酸化路易斯 X(E-选择素/SLe(x) 复合物)的复合物作为第一个目标分子。首先,我们引入了简化的 2D-FES,该模型可描述碳水化合物结构的构象变化以及碳水化合物配体的溶剂化稳定性程度,并通过结合从头算 QM/MM 能量校正的经典分子动力学模拟来评估整体自由能分布。其次,我们将灵活的碳水化合物结构映射到简化的 QM/MM 2D-FES 上,并确定了每个单糖成分与碳水化合物识别域中的氨基酸残基之间的分子相互作用的细节。最后,我们通过对从 2D-FES 的最小自由能区域中采样的几个 QM/MM 优化的几何结构进行从头算 QM/MM-GIAO 计算来评估化学屏蔽张量,并将此理论平均数据与实验 1D-NMR 图谱进行比较,从而验证了我们的建模策略的有效性。该模型清楚地表明,E-选择素/SLe(x) 复合物的结合构象不是由单个刚性碳水化合物结构决定的,而是由围绕最小自由能区域波动的平均构象的总和决定的。对于 E-选择素/SLe(x) 复合物,主要的分子相互作用是 Fuc 与碳水化合物识别域中的 Ca(2+) 结合位点之间的氢键,而 Gal 对于确定配体特异性很重要。

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