Quantum chemical investigation of electronic transitions of mitorubrin azaphilones

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-09-03 DOI:10.1002/jcc.27498
Muhammad Saalim, Benjamin R. Clark, Peter R. Taylor
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Abstract

Fungal azaphilones are a broad class of naturally-occurring pigments with diverse applications. Among the azaphilone pigments, mitorubrins are well recognized for their antiviral, antibacterial, antifungal, antiprotozoal, antidiabetic, and antiaging activities in addition to their well-known yellow-orange color. This makes these pigments interesting candidates for use in foods, as cosmetics, and as medicines. In particular, if it is desired to modify the properties of mitorubrin-based pigments, for example by derivatization, it is essential to have an understanding of the electronic spectra of the parent molecules. We have therefore undertaken a computational study of a series of mitorubrins, comparing our computed results with experimental UV/visible spectra. Both density-functional theory (DFT) and coupled-cluster (CC2) methods have been used, and in general, the results are in very good agreement with observation. In order to provide a simple and useful picture of the spectra we analyze the stronger transitions in terms of natural transition orbitals (NTOs).

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mitorubrin azaphilones 电子跃迁的量子化学研究。
真菌萘醌是一类用途广泛的天然色素。在萘醌类色素中,mitorubrins 因其抗病毒、抗菌、抗真菌、抗原虫、抗糖尿病和抗衰老等活性而广为人知,此外,它们还具有众所周知的橘黄色。因此,这些色素可用于食品、化妆品和药品。特别是,如果希望通过衍生等方法改变褐藻素基色素的特性,就必须了解母体分子的电子光谱。因此,我们对一系列褐藻素进行了计算研究,并将计算结果与实验紫外/可见光谱进行了比较。我们使用了密度函数理论(DFT)和耦合簇(CC2)方法,总体而言,计算结果与观测结果非常吻合。为了提供一个简单而有用的光谱图,我们用自然过渡轨道(NTO)来分析较强的跃迁。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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