基于dft计算的替莫唑胺癌症治疗前药的分子结构、同流光分析和振动光谱

IF 1.1 Q4 BIOPHYSICS AIMS Biophysics Pub Date : 2022-01-01 DOI:10.3934/biophy.2022018
Ramesh Rijal, H. P. Lamichhane, K. Pudasainee
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引用次数: 8

摘要

利用密度泛谱理论对替莫唑胺分子在中性和阴离子状态下的分子结构和光谱进行了分析,并添加了DMSO溶剂。利用6-311G(d)基集,采用DFT/B3LYP方法对TMZ分子的分子结构进行优化。计算HOMO-LUMO能量和MEP图,以确定6-311G+(d)基组的能隙和亲电性和亲核性的可能位点。用一种计算方法计算了振动频率,并将主要基本振型分配到各自的频率上。通过对模拟光谱和实验光谱的比较,确定了计算方法解释振动模式的潜力。在碳同位素标记上,频率有明显的偏移。
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Molecular structure, homo-lumo analysis and vibrational spectroscopy of the cancer healing pro-drug temozolomide based on dft calculations
The molecular structure and spectroscopic analysis of the Temozolomide molecule have been performed using the density functional theory in neutral and anion states as well as with the addition of DMSO solvent. The 6-311G(d) basis set was employed to optimize the molecular structure of the TMZ molecule using the DFT/B3LYP method. The HOMO-LUMO energies and MEP map were computed to determine the energy gap and probable sites of electrophilic and nucleophilic reactivity in the 6-311G+(d) basis set. The vibrational frequencies were calculated using a computational method and the major fundamental modes of vibration were assigned to their respective frequencies. The potential of the computational method to explain the vibrational modes was determined by comparing simulated spectra with experimental spectra. On isotope labeling of carbon, the frequency was shifted significantly.
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来源期刊
AIMS Biophysics
AIMS Biophysics BIOPHYSICS-
CiteScore
2.40
自引率
20.00%
发文量
16
审稿时长
8 weeks
期刊介绍: AIMS Biophysics is an international Open Access journal devoted to publishing peer-reviewed, high quality, original papers in the field of biophysics. We publish the following article types: original research articles, reviews, editorials, letters, and conference reports. AIMS Biophysics welcomes, but not limited to, the papers from the following topics: · Structural biology · Biophysical technology · Bioenergetics · Membrane biophysics · Cellular Biophysics · Electrophysiology · Neuro-Biophysics · Biomechanics · Systems biology
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