Garla Roobee, Kaur Narinder, Bansal Mohinder Pal, Garg Mohan Lal, Mohanty Biraja Prasad
Department of Biophysics, Panjab University, Chandigarh, India, 160014.
J Mol Model. 2017 Mar;23(3):78. doi: 10.1007/s00894-017-3247-6. Epub 2017 Feb 16.
Exposure to inorganic arsenic (As) is one of the major health concerns in several regions around the world. Binding of As(III) with thiols is central to the mechanisms related to its toxicity, detoxification, and therapeutic effects. Due to its high thiol content, metallothionein (MT) is presumed to play an important role in case of arsenic toxicity. Consequences of these As-thiol interactions are not yet clear due to various difficulties in the characterization of arsenic bound proteins by spectroscopic techniques. Computational modeling can be a reliable approach in predicting the molecular structures of such complexes. This paper presents the results of a systematic study on different As(III)-thiol model compounds conducted by both ab initio and DFT methods with different Gaussian type basis sets. Proficiency of these theoretical methods has been evaluated in terms of bond lengths, bond angles, free energy, partial atomic charges, computational cost, and comparison with the experimental data. It has been demonstrated that the DFT-B3LYP/6-311+G(3df) functional offers better accuracy in predicting the structure and the UV absorption spectra of As(III)-thiol complexes. The results of the present study also helps in defining the boundaries for the core of arsenic bound MT so that quantum mechanical/molecular mechanical (QM/MM) methods can be employed to predict the structural and functional aspects of the protein. Graphical Abstract Optimized structural parameters of As-thiol model compounds.
接触无机砷是世界上多个地区主要的健康问题之一。三价砷(As(III))与硫醇的结合是与其毒性、解毒作用及治疗效果相关机制的核心。由于金属硫蛋白(MT)含有高硫醇含量,推测其在砷中毒情况下发挥重要作用。由于通过光谱技术表征砷结合蛋白存在各种困难,这些砷 - 硫醇相互作用的后果尚不清楚。计算建模可能是预测此类配合物分子结构的可靠方法。本文介绍了通过从头算和密度泛函理论(DFT)方法以及不同高斯型基组对不同As(III) - 硫醇模型化合物进行系统研究的结果。已根据键长、键角、自由能、部分原子电荷、计算成本以及与实验数据的比较对这些理论方法的熟练度进行了评估。结果表明,DFT - B3LYP/6 - 311 + G(3df) 泛函在预测As(III) - 硫醇配合物的结构和紫外吸收光谱方面具有更高的准确性。本研究结果也有助于界定砷结合MT核心的边界,以便能够采用量子力学/分子力学(QM/MM)方法预测该蛋白质的结构和功能方面。图形摘要 As - 硫醇模型化合物的优化结构参数。