Quantum chemical, spectroscopic and molecular docking investigations of potential pulmonary fibrosis drug methyl 2-chloro 4-iodonicotinate

IF 2.3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
G. Pandimeena, T. Mathavan, E. James Jebaseelan Samuel, A. Milton Franklin Benial
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引用次数: 0

Abstract

In this work, the methyl 2-chloro 4-iodonicotinate (MCIN) was investigated to study the structural, spectroscopic and electronic properties using density functional theory (DFT) quantum chemical calculations. The most stable structure of MCIN was optimized by DFT/B3LYP method with a LanLD2Z basis set. The optimized parameters and vibrational wavenumbers were determined. The vibrational task of the molecule was done by potential energy distribution calculations. The 13C NMR spectrum of the MCIN molecule was simulated by the Gauge-Invariant-Atomic Orbital method using a dimethyl sulfoxide solution and the isotropic chemical shift values of the molecule were calculated and observed. Ultraviolet-visible spectra were simulated and observed. The pharmaceutical activity was predicted using frontier molecular orbital and natural bond orbital analysis. The reactive sites of the MCIN molecule were determined using Mulliken atomic charge distribution, molecular electrostatic potential surface and the local reactivity analysis. The molecular docking analysis confirms that the title molecule can be used in drug design for the treatment of pulmonary fibrosis.

Abstract Image

潜在肺纤维化药物2-氯- 4-碘烟酸甲酯的量子化学、光谱和分子对接研究
本文利用密度泛函理论(DFT)量子化学计算方法研究了2-氯- 4-碘烟酸甲酯(MCIN)的结构、光谱和电子性质。基于LanLD2Z基集,采用DFT/B3LYP方法对MCIN最稳定的结构进行优化。确定了优化参数和振动波数。分子的振动任务是通过势能分布计算完成的。采用二甲基亚砜溶液,用量规不变原子轨道法模拟了MCIN分子的13C核磁共振谱,计算并观察了分子的各向同性化学位移值。模拟并观测了紫外可见光谱。利用前沿分子轨道和天然键轨道分析预测了化合物的药物活性。利用Mulliken原子电荷分布、分子静电势面和局部反应性分析确定了MCIN分子的反应位点。分子对接分析证实标题分子可用于治疗肺纤维化的药物设计。
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来源期刊
Journal of Molecular Recognition
Journal of Molecular Recognition 生物-生化与分子生物学
CiteScore
4.60
自引率
3.70%
发文量
68
审稿时长
2.7 months
期刊介绍: Journal of Molecular Recognition (JMR) publishes original research papers and reviews describing substantial advances in our understanding of molecular recognition phenomena in life sciences, covering all aspects from biochemistry, molecular biology, medicine, and biophysics. The research may employ experimental, theoretical and/or computational approaches. The focus of the journal is on recognition phenomena involving biomolecules and their biological / biochemical partners rather than on the recognition of metal ions or inorganic compounds. Molecular recognition involves non-covalent specific interactions between two or more biological molecules, molecular aggregates, cellular modules or organelles, as exemplified by receptor-ligand, antigen-antibody, nucleic acid-protein, sugar-lectin, to mention just a few of the possible interactions. The journal invites manuscripts that aim to achieve a complete description of molecular recognition mechanisms between well-characterized biomolecules in terms of structure, dynamics and biological activity. Such studies may help the future development of new drugs and vaccines, although the experimental testing of new drugs and vaccines falls outside the scope of the journal. Manuscripts that describe the application of standard approaches and techniques to design or model new molecular entities or to describe interactions between biomolecules, but do not provide new insights into molecular recognition processes will not be considered. Similarly, manuscripts involving biomolecules uncharacterized at the sequence level (e.g. calf thymus DNA) will not be considered.
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