{"title":"加深对分子相互作用的理解:利用密度泛函理论对 DNA 核碱基和金纳米粒子进行计算研究","authors":"Saurav Mishra, Brijesh Kumar Pandey, Jyoti Gupta","doi":"10.1007/s10910-024-01659-9","DOIUrl":null,"url":null,"abstract":"<p>Molecular interactions aid in our understanding of how proteins function and behave. As they can help us predict the biological functions of unknown proteins in living organisms in this work, DNA nucleobases are studied, which can assist us in characterizing protein complexes, cellular pathways, and functional modules. Density functional theory examines how different gold nanoparticles interact with DNA nucleobase monomers (DFT). At B3LYP, the 6-311-G basis set was used to optimize the molecular geometries of various nucleobases. At LANL2DZ as the basis set, molecular geometries of diverse gold nanoparticles are optimized. At standard pressure and temperature, binding energy, interaction energy, and Bandgap were estimated along with its IR and UV spectrum were studied. Our simulation results clearly show that the hydrogen bondings are intensified and more likely to occur as the size of the nucleobases and gold nanoparticles increases. Hydrogen bonding is also essential for the delivery of medications and the sequencing of genes in molecules. In our computational investigations, the interaction between different DNA nucleobases and gold nanoparticles is examined to find out how other nucleobases are affected by gold nanoparticles. The interaction between gold nanoparticles and diverse nucleobases is investigated to understand the behavior of nanoparticles with different nucleobases. The molecule composed of six gold atoms was discovered to be the most stable of all the optimized gold compounds. Our computational results can be explained by the polarization of gold molecules and their electronic energy.</p>","PeriodicalId":648,"journal":{"name":"Journal of Mathematical Chemistry","volume":"50 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing understanding of molecular interactions: computational studies on DNA nucleobases and gold nanoparticles using density functional theory\",\"authors\":\"Saurav Mishra, Brijesh Kumar Pandey, Jyoti Gupta\",\"doi\":\"10.1007/s10910-024-01659-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Molecular interactions aid in our understanding of how proteins function and behave. As they can help us predict the biological functions of unknown proteins in living organisms in this work, DNA nucleobases are studied, which can assist us in characterizing protein complexes, cellular pathways, and functional modules. Density functional theory examines how different gold nanoparticles interact with DNA nucleobase monomers (DFT). At B3LYP, the 6-311-G basis set was used to optimize the molecular geometries of various nucleobases. At LANL2DZ as the basis set, molecular geometries of diverse gold nanoparticles are optimized. At standard pressure and temperature, binding energy, interaction energy, and Bandgap were estimated along with its IR and UV spectrum were studied. Our simulation results clearly show that the hydrogen bondings are intensified and more likely to occur as the size of the nucleobases and gold nanoparticles increases. Hydrogen bonding is also essential for the delivery of medications and the sequencing of genes in molecules. In our computational investigations, the interaction between different DNA nucleobases and gold nanoparticles is examined to find out how other nucleobases are affected by gold nanoparticles. The interaction between gold nanoparticles and diverse nucleobases is investigated to understand the behavior of nanoparticles with different nucleobases. The molecule composed of six gold atoms was discovered to be the most stable of all the optimized gold compounds. Our computational results can be explained by the polarization of gold molecules and their electronic energy.</p>\",\"PeriodicalId\":648,\"journal\":{\"name\":\"Journal of Mathematical Chemistry\",\"volume\":\"50 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Mathematical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1007/s10910-024-01659-9\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s10910-024-01659-9","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
分子相互作用有助于我们了解蛋白质的功能和行为。由于分子相互作用有助于我们预测生物体内未知蛋白质的生物功能,因此本研究对 DNA 核碱基进行了研究,从而帮助我们确定蛋白质复合物、细胞通路和功能模块的特征。密度泛函理论研究了不同的金纳米粒子如何与 DNA 核碱基单体相互作用(DFT)。在 B3LYP 中,6-311-G 基集用于优化各种核碱基的分子几何结构。以 LANL2DZ 为基础集,优化了各种金纳米粒子的分子几何形状。在标准压力和温度下,对结合能、相互作用能和带隙进行了估算,并对其红外和紫外光谱进行了研究。我们的模拟结果清楚地表明,随着核碱基和金纳米粒子尺寸的增大,氢键作用会加强,也更容易发生。氢键对于分子中的药物输送和基因测序也至关重要。在我们的计算研究中,我们研究了不同 DNA 核碱基与金纳米粒子之间的相互作用,以找出金纳米粒子对其他核碱基的影响。我们研究了金纳米粒子与不同核碱基之间的相互作用,以了解纳米粒子与不同核碱基的行为。研究发现,由六个金原子组成的分子是所有优化金化合物中最稳定的。我们的计算结果可以用金分子的极化及其电子能量来解释。
Advancing understanding of molecular interactions: computational studies on DNA nucleobases and gold nanoparticles using density functional theory
Molecular interactions aid in our understanding of how proteins function and behave. As they can help us predict the biological functions of unknown proteins in living organisms in this work, DNA nucleobases are studied, which can assist us in characterizing protein complexes, cellular pathways, and functional modules. Density functional theory examines how different gold nanoparticles interact with DNA nucleobase monomers (DFT). At B3LYP, the 6-311-G basis set was used to optimize the molecular geometries of various nucleobases. At LANL2DZ as the basis set, molecular geometries of diverse gold nanoparticles are optimized. At standard pressure and temperature, binding energy, interaction energy, and Bandgap were estimated along with its IR and UV spectrum were studied. Our simulation results clearly show that the hydrogen bondings are intensified and more likely to occur as the size of the nucleobases and gold nanoparticles increases. Hydrogen bonding is also essential for the delivery of medications and the sequencing of genes in molecules. In our computational investigations, the interaction between different DNA nucleobases and gold nanoparticles is examined to find out how other nucleobases are affected by gold nanoparticles. The interaction between gold nanoparticles and diverse nucleobases is investigated to understand the behavior of nanoparticles with different nucleobases. The molecule composed of six gold atoms was discovered to be the most stable of all the optimized gold compounds. Our computational results can be explained by the polarization of gold molecules and their electronic energy.
期刊介绍:
The Journal of Mathematical Chemistry (JOMC) publishes original, chemically important mathematical results which use non-routine mathematical methodologies often unfamiliar to the usual audience of mainstream experimental and theoretical chemistry journals. Furthermore JOMC publishes papers on novel applications of more familiar mathematical techniques and analyses of chemical problems which indicate the need for new mathematical approaches.
Mathematical chemistry is a truly interdisciplinary subject, a field of rapidly growing importance. As chemistry becomes more and more amenable to mathematically rigorous study, it is likely that chemistry will also become an alert and demanding consumer of new mathematical results. The level of complexity of chemical problems is often very high, and modeling molecular behaviour and chemical reactions does require new mathematical approaches. Chemistry is witnessing an important shift in emphasis: simplistic models are no longer satisfactory, and more detailed mathematical understanding of complex chemical properties and phenomena are required. From theoretical chemistry and quantum chemistry to applied fields such as molecular modeling, drug design, molecular engineering, and the development of supramolecular structures, mathematical chemistry is an important discipline providing both explanations and predictions. JOMC has an important role in advancing chemistry to an era of detailed understanding of molecules and reactions.