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黄酮类化合物作为β-淀粉样蛋白聚集物配体的结合研究及其 3D-QSAR、对接研究。

Binding research on flavones as ligands of β-amyloid aggregates by fluorescence and their 3D-QSAR, docking studies.

机构信息

Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, PR China.

出版信息

J Mol Graph Model. 2010 Dec;29(4):538-45. doi: 10.1016/j.jmgm.2010.10.006. Epub 2010 Oct 23.

Abstract

The K(d)s (dissociation constants) of 21 flavone derivatives have been obtained by fluorescence in vitro when binding with Aβ(1-40) (β-amyloid(1-40)) aggregates protein. Extensive 3D-QSAR (quantitative structure-activity relationship) studies were performed on the fluorescent flavones, which are excellent ligands of Aβ(1-40) aggregates protein. Comparative molecular similarity indices analysis (CoMSIA) technique was used to relate the binding affinities with the ligand structures, and the QSAR model was obtained using the CoMFA technique. The QSAR model was proved to statistically significant and have high predictive power: the CoMSIA model yielded the cross-validated q2 = 0.512 and the non-cross-validated r2 = 0.911. This model showed that electrostatic (22.5%) and H-bond interaction (acceptor 15.3%; donor 45.1%) properties played major roles in ligand binding process. The QSAR model was further graphically interpreted in terms of field contribution maps. In order to further investigate the specific binding site of the flavones in the Aβ(1-40) aggregates, preliminary docking studies were performed. According to the 3D-QSAR results, the possible binding site in the protein was proposed in order to direct the molecular docking studies. A good correlation (R2: 0.846) between the calculated binding energies and the experimental binding affinities (pK(d)s) suggests that the identified binding site is reliable. The 3D-QSAR model and the information of the ligand-protein interaction will be helpful in the selection of flavones to be structurally modified and labeled by a radio nuclide for imaging Aβ(1-40) aggregates in the AD (Alzheimer's disease) brain.

摘要

已经通过荧光体外实验获得了 21 种黄酮衍生物与 Aβ(1-40)(β-淀粉样蛋白(1-40))聚集蛋白结合的 K(d)值。对作为 Aβ(1-40)聚集蛋白的优良配体的荧光黄酮进行了广泛的 3D-QSAR(定量构效关系)研究。比较分子相似性指数分析(CoMSIA)技术用于将结合亲和力与配体结构相关联,并且使用 CoMFA 技术获得 QSAR 模型。QSAR 模型被证明在统计学上是显著的,并且具有较高的预测能力:CoMSIA 模型产生的交叉验证 q2 = 0.512,非交叉验证 r2 = 0.911。该模型表明静电(22.5%)和氢键相互作用(受体 15.3%;供体 45.1%)特性在配体结合过程中起主要作用。QSAR 模型进一步根据场贡献图进行了图形解释。为了进一步研究黄酮在 Aβ(1-40)聚集物中的特定结合位点,进行了初步的对接研究。根据 3D-QSAR 结果,提出了在蛋白质中可能的结合位点,以便指导分子对接研究。计算的结合能与实验结合亲和力(pK(d))之间的良好相关性(R2:0.846)表明所确定的结合位点是可靠的。3D-QSAR 模型和配体-蛋白质相互作用的信息将有助于选择黄酮类化合物进行结构修饰,并通过放射性核素进行标记,以对 AD(阿尔茨海默病)脑中的 Aβ(1-40)聚集物进行成像。

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