Spectroscopic and molecular docking investigation on the interaction of a water-soluble Cu(II) complex containing diethanolamine and dipicolinic acid ligands with human serum albumin.

IF 2.4 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biomolecular Structure & Dynamics Pub Date : 2025-04-01 Epub Date: 2023-12-26 DOI:10.1080/07391102.2023.2297812
Nahid Shahabadi, Azadeh Marzbani, Saba Hadidi, Zahra Mardani
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Abstract

Under physiological conditions, spectroscopic techniques as well as molecular docking simulation have been used to investigate the binding interaction mechanism between Cu(II) complex containing Pyridine-2,6-dicarboxylic acid (PDCA) and Diethanolamine (DEA) ligands, [Cu(DEA)(PDCA)] and human serum albumin (HSA). UV spectral changes of protein in the presence of the Cu(II) complex suggested the formation of a Protein-Cu(II) complex conjugate with specific new structure. The Cu(II) complex quenches the intrinsic fluorescence of the HSA via a static mechanism in which van der Waals interactions along with hydrogen bonds are fundamental binding forces. Displacement experiments performed by warfarin and ibuprofen site probes predict that the Cu(II) complex is located in subdomain IIA, Sudlow site 1 of HSA. Molecular docking results showed close resemblance with experimental data.

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含有二乙醇胺和二蝉蜕酸配体的水溶性 Cu(II) 复合物与人血清白蛋白相互作用的光谱和分子对接研究。
在生理条件下,利用光谱技术和分子对接模拟研究了含有吡啶-2,6-二羧酸(PDCA)和二乙醇胺(DEA)配体的 Cu(II) 复合物[Cu(DEA)(PDCA)]与人血清白蛋白(HSA)之间的结合相互作用机制。在 Cu(II) 复合物存在的情况下,蛋白质的紫外光谱发生了变化,表明形成了具有特定新结构的蛋白质-Cu(II) 复合物共轭物。Cu(II) 复合物通过静态机制淬灭 HSA 的本征荧光,在该机制中,范德华相互作用和氢键是基本的结合力。通过华法林和布洛芬位点探针进行的位移实验预测,Cu(II)复合物位于 HSA 的子域 IIA,即 Sudlow 位点 1。分子对接结果与实验数据非常相似。
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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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