Spectroscopic (FT-IR, FT-Raman) investigation, topology (ESP, ELF, LOL) analyses, charge transfer excitation and molecular docking (dengue, HCV) studies on ribavirin

IF 2.218 Q2 Chemistry
Fathima Rizwana B. , S. Muthu , Johanan Christian Prasana , Christina Susan Abraham , M. Raja
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引用次数: 77

Abstract

Ribavirin, a triazole derivative has a wide application in the medical field as an antiviral drug. In the present work, a quantum chemical approach was followed to study the vibrational modes and the reactivity. Experimental techniques of FT-IR, FT-Raman were used to study the vibrational spectrum. A complete vibrational analysis was carried out and assignments of the fundamental modes were proposed. Molecular electrostatic potential, frontier molecular orbitals, electronic localization function and fukui functions were analyzed by using wavefunction analyser, Multiwfn 3.4.1 to study the chemical reactivity. Band gap energy of the title molecule is found to be 6.01 eV, as calculated from the HOMO-LUMO energies. The intermolecular charge transfer within the molecule was confirmed from the charge transfer interactions. Molecular docking studies were carried out to study the biological activity of the compound. Viral target proteins such as Dengue and Hepatitis C were chosen and the respective docking parameters were calculated.

Abstract Image

利巴韦林的光谱(FT-IR, FT-Raman)研究,拓扑(ESP, ELF, LOL)分析,电荷转移激发和分子对接(登革热,HCV)研究
利巴韦林是三唑类药物的衍生物,作为抗病毒药物在医学领域有着广泛的应用。本文采用量子化学方法研究了其振动模式和反应性。利用傅里叶变换红外光谱、傅里叶变换拉曼光谱等实验技术对其振动谱进行了研究。进行了完整的振动分析,并提出了基本模态的分配。利用波函数分析仪Multiwfn 3.4.1分析分子静电势、前沿分子轨道、电子定位函数和福井函数,研究其化学反应性。根据HOMO-LUMO能量计算,标题分子的带隙能为6.01 eV。通过电荷转移相互作用证实了分子内的分子间电荷转移。进行分子对接研究,研究该化合物的生物活性。选择登革热和丙型肝炎等病毒靶蛋白,并计算相应的对接参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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