吉林农业大学生命科学学院,吉林大学超分子结构与材料国家重点实验室,吉林农业大学生命科学学院,吉林农业大学生命科学学院,吉林农业大学生命科学学院
吉林农业大学科研启动基金(201307)和国家自然科学基金(31572372)资助项目
School of Life Sciences, Jilin Agricultural University,State Key Lab of Supramolecular Structure and Materials, Jilin University,School of Life Sciences, Jilin Agricultural University,School of Life Sciences, Jilin Agricultural University,School of Life Sciences, Jilin Agricultural University
This work was supported by grants from Scientific Research Foundation Project of Jilin Agricultural University(201307) and The National Natural Science Foundation of China (31572372)
核酸碱基是核酸的重要组成部分,而拉曼光谱是研究分子结构的一种重要技术,利用拉曼光谱对核酸碱基分子进行研究对于研究核酸大分子的结构变化,以及核酸分子与小分子之间的作用具有重要的意义.本研究以表征核酸碱基的拉曼光谱为目的,利用密度泛函理论(density functional theory,DFT)的方法优化腺嘌呤、鸟嘌呤、胞嘧啶、胸腺嘧啶和尿嘧啶的分子结构,对这5种核酸碱基的分子内化学键振动进行了量化计算并获得了理论拉曼光谱结果.利用计算结果对实验获得的碱基的固体拉曼光谱进行了表征,并且结合前人的研究结果对每种碱基的一些重要特征拉曼谱峰进行了细致的阐释,为进一步利用拉曼光谱研究核酸分子的结构信息奠定了理论基础.
Nucleic acid bases are an important part of nucleic acids, and Raman spectroscopy is an important technique in studying on molecular structure. Therefore, it has a great significance for the research on the structural changes of nucleic acid macro-molecules and the interactions between nucleic acid molecules and small molecule that the Raman spectroscopy of nucleic acid bases are characterized. In this study, the molecular structures of adenine, guanine, cytosine, thymine and uracil were optimized based on the density functional theory method (DFT). The intra-molecular bond vibration frequency of these five nucleic acid bases were predicted by quantitative calculation, and the Raman spectroscopy of nucleic acid bases was characterized by corresponding the relation between the results of nucleic acid bases Raman spectroscopy in experiment and in theory. Moreover,the characteristic Raman peaks in the Raman spectroscopy of each nucleic acid bases were explanation in detail. It laid the theoretical foundation for the further structural information of nucleic acid molecules by the means of Raman spectra.
吴雷,李菲,金周雨,李雨婷,胡薇.基于密度泛函理论方法的核酸碱基拉曼光谱研究[J].生物化学与生物物理进展,2016,43(3):281-290
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