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

被引:13
|
作者
Huang, Hung-Jin [1 ]
Chetyrkina, Margarita [2 ]
Wong, Chui-Wei [1 ]
Kraevaya, Olga A. [2 ,3 ]
Zhilenkov, Alexander V. [3 ]
Voronov, Ilya I. [3 ]
Wang, Pei-Hwa [4 ]
Troshin, Pavel A. [3 ]
Hsu, Shan-hui [1 ,5 ,6 ]
机构
[1] Natl Taiwan Univ, Inst Polymer Sci & Engn, 1,Sec 4 Roosevelt Rd, Taipei 10617, Taiwan
[2] Skolkovo Inst Sci & Technol, Moscow, Russia
[3] Russian Acad Sci, Inst Problems Chem Phys, Chernogolovka 142432, Russia
[4] Natl Taiwan Univ, Dept Anim Sci & Technol, Taipei, Taiwan
[5] Natl Hlth Res Inst, Inst Cellular & Syst Med, Miaoli, Taiwan
[6] Natl Taiwan Univ, Res & Dev Ctr Med Devices, Taipei, Taiwan
基金
俄罗斯科学基金会;
关键词
NSCLC; Genetic algorithm; QSAR; Antitumor; Water-soluble fullerene derivatives; C-60; FULLERENE; IN-VITRO; DRUG-DELIVERY; PROLIFERATION; NANOCOMPLEX; DOXORUBICIN; DESIGN;
D O I
10.1016/j.csbj.2021.01.012
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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. (C) 2021 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
引用
收藏
页码:812 / 825
页数:14
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