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Enzyme-like Click Catalysis by a Copper-Containing Single-Chain Nanoparticle

机译:含铜单链纳米粒子的酶样点击催化

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A major challenge in performing reactions in biological systems is the requirement for low substrate concentrations, often in the micromolar range. We report that copper cross-linked single-chain nanoparticles (SCNPs) are able to significantly increase the efficiency of copper(I)-catalyzed alkyne-azide cycloaddition (CuAAC) reactions at low substrate concentration in aqueous buffer by promoting substrate binding. Using a fluorogenic click reaction and dye uptake experiments, a structure-activity study is performed with SCNPs of different size and copper content and substrates of varying charge and hydrophobicity. The high catalytic efficiency and selectivity are attributed to a mechanism that involves an enzyme-like substrate binding process. Saturation-transfer difference (STD) NMR spectroscopy, 2D-NOESY NMR, kinetic analyses with varying substrate concentrations, and computational simulations are consistent with a Michaelis-Menten, two-substrate, random-sequential enzyme-like kinetic profile. This general approach may prove useful for developing more-sustainable catalysts and agents for biomedicine and chemical biology.
机译:在生物系统中进行反应的主要挑战是要求低底物浓度(通常在微摩尔范围内)。我们报告说铜交联的单链纳米粒子(SCNPs)能够通过促进底物结合,以低底物浓度在水性缓冲液中显着提高铜(I)催化的炔-叠氮化物环加成(CuAAC)反应的效率。使用荧光点击反应和染料吸收实验,使用不同大小和铜含量的SCNP以及电荷和疏水性不同的底物进行了结构活性研究。高催化效率和选择性归因于涉及酶样底物结合过程的机理。饱和转移差异(STD)NMR光谱,2D-NOESY NMR,具有不同底物浓度的动力学分析以及计算模拟与Michaelis-Menten(两种底物,随机顺序的酶样动力学曲线)一致。这种通用方法可能被证明对开发用于生物医学和化学生物学的更可持续的催化剂和试剂很有用。

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