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氟化糖模拟物与DC-SIGN的相互作用:通过核磁共振方法和分子动力学模拟相结合解析多种结合模式

The Interaction of Fluorinated Glycomimetics with DC-SIGN: Multiple Binding Modes Disentangled by the Combination of NMR Methods and MD Simulations.

作者信息

Martínez J Daniel, Infantino Angela S, Valverde Pablo, Diercks Tammo, Delgado Sandra, Reichardt Niels-Christian, Ardá Ana, Cañada Francisco Javier, Oscarson Stefan, Jiménez-Barbero Jesús

机构信息

CIC bioGUNE, Basque Research Technology Alliance, BRTA, Bizkaia Technology park, Building 800, 48160 Derio, Spain.

Centre for Synthesis and Chemical Biology, University College Dublin, Belfield, Dublin 4, Ireland.

出版信息

Pharmaceuticals (Basel). 2020 Aug 4;13(8):179. doi: 10.3390/ph13080179.

DOI:10.3390/ph13080179
PMID:32759765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7463913/
Abstract

Fluorinated glycomimetics are frequently employed to study and eventually modulate protein-glycan interactions. However, complex glycans and their glycomimetics may display multiple binding epitopes that enormously complicate the access to a complete picture of the protein-ligand complexes. We herein present a new methodology based on the synergic combination of experimental F-based saturation transfer difference (STD) NMR data with computational protocols, applied to analyze the interaction between DC-SIGN, a key lectin involved in inflammation and infection events with the trifluorinated glycomimetic of the trimannoside core, ubiquitous in human glycoproteins. A novel 2D-STD-TOCSYreF NMR experiment was employed to obtain the experimental STD NMR intensities, while the Complete Relaxation Matrix Analysis (CORCEMA-ST) was used to predict that expected for an ensemble of geometries extracted from extensive MD simulations. Then, an in-house built computer program was devised to find the ensemble of structures that provide the best fit between the theoretical and the observed STD data. Remarkably, the experimental STD profiles obtained for the ligand/DC-SIGN complex could not be satisfactorily explained by a single binding mode, but rather with a combination of different modes coexisting in solution. Therefore, the method provides a precise view of those ligand-receptor complexes present in solution.

摘要

氟化糖模拟物经常被用于研究并最终调节蛋白质-聚糖相互作用。然而,复杂聚糖及其糖模拟物可能会呈现多个结合表位,这极大地增加了全面了解蛋白质-配体复合物的难度。我们在此提出一种新方法,该方法基于实验性的基于氟的饱和转移差异(STD)核磁共振数据与计算协议的协同结合,用于分析DC-SIGN(一种参与炎症和感染事件的关键凝集素)与三氟化甘露糖苷核心糖模拟物(在人类糖蛋白中普遍存在)之间的相互作用。采用一种新型的二维STD-TOCSYreF核磁共振实验来获取实验性STD核磁共振强度,同时使用完全弛豫矩阵分析(CORCEMA-ST)来预测从广泛的分子动力学模拟中提取的一组几何结构的预期值。然后,设计了一个内部构建的计算机程序来寻找能使理论和观测到的STD数据之间达到最佳拟合的结构集合。值得注意的是,配体/DC-SIGN复合物的实验性STD图谱不能用单一结合模式令人满意地解释,而要用溶液中共存的不同模式的组合来解释。因此,该方法提供了溶液中存在的那些配体-受体复合物的精确视图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/340cf39027fc/pharmaceuticals-13-00179-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/5077b87f053c/pharmaceuticals-13-00179-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/0ed1bacbb0a5/pharmaceuticals-13-00179-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/710447de8866/pharmaceuticals-13-00179-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/a95bde89ebba/pharmaceuticals-13-00179-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/bd6ebdd18b29/pharmaceuticals-13-00179-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/340cf39027fc/pharmaceuticals-13-00179-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/5077b87f053c/pharmaceuticals-13-00179-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/0ed1bacbb0a5/pharmaceuticals-13-00179-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/710447de8866/pharmaceuticals-13-00179-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/a95bde89ebba/pharmaceuticals-13-00179-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/bd6ebdd18b29/pharmaceuticals-13-00179-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aaf/7463913/340cf39027fc/pharmaceuticals-13-00179-g006.jpg

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1
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Chem Soc Rev. 2020 Jun 22;49(12):3863-3888. doi: 10.1039/c9cs00099b.
2
Molecular Recognition in C-Type Lectins: The Cases of DC-SIGN, Langerin, MGL, and L-Sectin.C 型凝集素中的分子识别:以 DC-SIGN、 langerin、MGL 和 L-选择素为例。
Chembiochem. 2020 Nov 2;21(21):2999-3025. doi: 10.1002/cbic.202000238. Epub 2020 Jul 2.
3
Structural Aspects of Carbohydrate Recognition Mechanisms of C-Type Lectins.
探索糖基纳米疫苗在开发交叉呈递介导的抗肿瘤免疫疗法方面的前景。
Vaccines (Basel). 2022 Nov 30;10(12):2049. doi: 10.3390/vaccines10122049.
4
Fluorine-Directed Automated Mannoside Assembly.氟原子导向的自动化甘露糖基化装配。
Angew Chem Int Ed Engl. 2023 Jan 16;62(3):e202213304. doi: 10.1002/anie.202213304. Epub 2022 Dec 12.
5
Investigation of the Molecular Details of the Interactions of Selenoglycosides and Human Galectin-3.硒糖脂与人半乳糖凝集素-3 相互作用的分子细节研究。
Int J Mol Sci. 2022 Feb 24;23(5):2494. doi: 10.3390/ijms23052494.
6
Kinetic Studies of Acetyl Group Migration between the Saccharide Units in an Oligomannoside Trisaccharide Model Compound and a Native Galactoglucomannan Polysaccharide.寡甘露三糖模型化合物和天然半乳糖葡甘露聚糖多糖中单糖单元间乙酰基迁移的动力学研究。
Chembiochem. 2021 Oct 13;22(20):2986-2995. doi: 10.1002/cbic.202100374. Epub 2021 Sep 2.
C 型凝集素的碳水化合物识别机制的结构方面。
Curr Top Microbiol Immunol. 2020;429:147-176. doi: 10.1007/82_2019_181.
4
Design and synthesis of glycomimetics: Recent advances.糖模拟物的设计与合成:最新进展。
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8
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9
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Nat Rev Nephrol. 2019 Jun;15(6):346-366. doi: 10.1038/s41581-019-0129-4.