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Predictive Model of the Relationship of the Antiradical Activity and the Ionization Potential of Molecules and Ions of Flavonoids

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Abstract

A relationship between the antiradical activity of flavonoids and the molecular descriptors related to the mechanism of their antiradical action was determined by single-variable linear regression analysis in the form of a semiempirical single-variable linear equation. The predictive ability of the derived model was evaluated using a test sample; the average error of approximation was no more than 8.5%. The obtained descriptor–activity relationship underlies the prediction of the antiradical properties of flavonoids and their similar structures in aqueous solutions with a physiological pH value of the medium.

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ACKNOWLEDGMENTS

The DFT calculations were performed at the High-Performance Computations Center for Shared Use of Scientific Equipment, Southern Federal University, Rostov-on-Don, Russia.

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Authors and Affiliations

  1. Donetsk National University, 283001, Donetsk, Ukraine

    N. I. Belaya & A. V. Belyi

  2. Southern Federal University, 344006, Rostov-on-Don, Russia

    I. N. Shcherbakov

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  1. N. I. Belaya
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  2. A. V. Belyi
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  3. I. N. Shcherbakov
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Correspondence to N. I. Belaya.

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Translated by V. Glyanchenko

Abbreviation: ARA, antiradical activity, APOO•, 2-amidinopropane-2-peroxyl radical; AAPH, 2,2'-azo-bis-(2-amidinopropane) dihydrochloride; DFT, density functional theory; ET–PT, electron transfer–proton transfer; FlavOH, flavonoids; Rd6G, Rhodamine 6G; CL, chemiluminescence; QSAR/QSPR, quantitative structure–activity/property relationships; SPLET, sequential proton loss electron transfer.

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Belaya, N.I., Belyi, A.V. & Shcherbakov, I.N. Predictive Model of the Relationship of the Antiradical Activity and the Ionization Potential of Molecules and Ions of Flavonoids. Kinet Catal 61, 360–368 (2020). https://doi.org/10.1134/S0023158420030040

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