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Identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via QSAR analysis

Water-soluble fullerene derivatives are actively investigated as potential drugs for cancer treatment due to their favorable membranotropic properties. Herein, cytotoxic effects of twenty fullerene derivatives with different solubilizing addends were evaluated in three different types of non-small-c...

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Autores principales: Huang, Hung-Jin, Chetyrkina, Margarita, Wong, Chui-Wei, Kraevaya, Olga A., Zhilenkov, Alexander V., Voronov, Ilya I., Wang, Pei-Hwa, Troshin, Pavel A., Hsu, Shan-hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7847972/
https://www.ncbi.nlm.nih.gov/pubmed/33598097
http://dx.doi.org/10.1016/j.csbj.2021.01.012
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author Huang, Hung-Jin
Chetyrkina, Margarita
Wong, Chui-Wei
Kraevaya, Olga A.
Zhilenkov, Alexander V.
Voronov, Ilya I.
Wang, Pei-Hwa
Troshin, Pavel A.
Hsu, Shan-hui
author_facet Huang, Hung-Jin
Chetyrkina, Margarita
Wong, Chui-Wei
Kraevaya, Olga A.
Zhilenkov, Alexander V.
Voronov, Ilya I.
Wang, Pei-Hwa
Troshin, Pavel A.
Hsu, Shan-hui
author_sort Huang, Hung-Jin
collection PubMed
description Water-soluble fullerene derivatives are actively investigated as potential drugs for cancer treatment due to their favorable membranotropic properties. Herein, cytotoxic effects of twenty fullerene derivatives with different solubilizing addends were evaluated in three different types of non-small-cell lung carcinoma (NSCLC). The potential structural descriptors of the solubilizing addends related to the inhibitory activities on each type of lung cancer cell were investigated by the quantitative structure–activity relationship (QSAR) approach. The determination coefficient r(2) for the recommended QSAR model were 0.9325, 0.8404, and 0.9011 for A549, H460, and H1299 cell lines, respectively. The results revealed that the chemical features of the fullerene-based compounds including aromatic bonds, sulfur-containing aromatic rings, and oxygen atoms are favored properties and promote the inhibitory effects on H460 and H1299 cells. Particularly, thiophene moiety is the key functional group, which was positively correlated with strong inhibitory effects on the three types of lung cancer cells. The useful information obtained from our regression models may lead to the design of more efficient inhibitors of the three types of NSCLC.
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spelling pubmed-78479722021-02-16 Identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via QSAR analysis Huang, Hung-Jin Chetyrkina, Margarita Wong, Chui-Wei Kraevaya, Olga A. Zhilenkov, Alexander V. Voronov, Ilya I. Wang, Pei-Hwa Troshin, Pavel A. Hsu, Shan-hui Comput Struct Biotechnol J Research Article Water-soluble fullerene derivatives are actively investigated as potential drugs for cancer treatment due to their favorable membranotropic properties. Herein, cytotoxic effects of twenty fullerene derivatives with different solubilizing addends were evaluated in three different types of non-small-cell lung carcinoma (NSCLC). The potential structural descriptors of the solubilizing addends related to the inhibitory activities on each type of lung cancer cell were investigated by the quantitative structure–activity relationship (QSAR) approach. The determination coefficient r(2) for the recommended QSAR model were 0.9325, 0.8404, and 0.9011 for A549, H460, and H1299 cell lines, respectively. The results revealed that the chemical features of the fullerene-based compounds including aromatic bonds, sulfur-containing aromatic rings, and oxygen atoms are favored properties and promote the inhibitory effects on H460 and H1299 cells. Particularly, thiophene moiety is the key functional group, which was positively correlated with strong inhibitory effects on the three types of lung cancer cells. The useful information obtained from our regression models may lead to the design of more efficient inhibitors of the three types of NSCLC. Research Network of Computational and Structural Biotechnology 2021-01-16 /pmc/articles/PMC7847972/ /pubmed/33598097 http://dx.doi.org/10.1016/j.csbj.2021.01.012 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Huang, Hung-Jin
Chetyrkina, Margarita
Wong, Chui-Wei
Kraevaya, Olga A.
Zhilenkov, Alexander V.
Voronov, Ilya I.
Wang, Pei-Hwa
Troshin, Pavel A.
Hsu, Shan-hui
Identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via QSAR analysis
title Identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via QSAR analysis
title_full Identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via QSAR analysis
title_fullStr Identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via QSAR analysis
title_full_unstemmed Identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via QSAR analysis
title_short Identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via QSAR analysis
title_sort identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via qsar analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7847972/
https://www.ncbi.nlm.nih.gov/pubmed/33598097
http://dx.doi.org/10.1016/j.csbj.2021.01.012
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