Substituted 1,4-naphthoquinones for potential anticancer therapeutics: In vitro cytotoxic effects and QSAR-guided design of new analogs.

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-07-25 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.07.040
Veda Prachayasittikul, Prasit Mandi, Ratchanok Pingaew, Supaluk Prachayasittikul, Somsak Ruchirawat, Virapong Prachayasittikul
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引用次数: 0

Abstract

1,4-Naphthoquinone is a promising pharmacophore in drug discovery due to its unique redox reactive nature and wide-ranging bioactivities. Herein, a series of 1,4-naphthoquinones (1-14) were investigated for their anticancer activities against 4 cancer cell lines (i.e., HepG2, HuCCA-1, A549, and MOLT-3). Compound 11 was found to be the most potent and selective anticancer agent against all tested cell lines (IC50 = 0.15 - 1.55 μM, selectivity index = 4.14 - 43.57). QSAR modelling was performed to elucidate key structural features influencing activities against four cancer cell lines. Four QSAR models were successfully constructed using multiple linear regression (MLR) algorithm providing good predictive performance (R: training set = 0.8928-0.9664; testing set = 0.7824-0.9157; RMSE: training set = 0.1755-0.2600; testing set = 0.2726-0.3748). QSAR models suggested that the potent anticancer activities of these naphthoquinones were mainly influenced by polarizability (MATS3p and BELp8), van der Waals volume (GATS5v, GATS6v, and Mor16v), mass (G1m), electronegativity (E1e), and dipole moment (Dipole and EEig15d) as well as ring complexity (RCI) and shape of the compound (SHP2). The models were further applied for guiding the design and predicting activities of an additional set of 248 structurally modified compounds in which the ones with promising predicted activities were highlighted for potential further development. Additionally, pharmacokinetic profiles and possible binding modes towards potential biological targets of the compounds were virtually assessed. Structure-activity relationship analysis was also conducted to highlight key structural features beneficial for further successful design of the related naphthoquinones.

取代1,4-萘醌作为潜在的抗癌治疗药物:体外细胞毒作用和qsar引导的新类似物设计。
1,4-萘醌因其独特的氧化还原活性和广泛的生物活性,在药物发现领域具有广阔的应用前景。本文研究了一系列1,4-萘醌类化合物(1-14)对HepG2、HuCCA-1、A549和MOLT-3等4种癌细胞的抗癌活性。化合物11对所有细胞系的抗癌作用最强,IC50 = 0.15 ~ 1.55 μM,选择性指数= 4.14 ~ 43.57。进行QSAR建模以阐明影响抗四种癌细胞系活性的关键结构特征。采用多元线性回归(MLR)算法成功构建了4个QSAR模型,预测效果良好(R:训练集= 0.8928-0.9664;测试集= 0.7824-0.9157;RMSE:训练集= 0.1755-0.2600;测试集= 0.2726-0.3748)。QSAR模型表明,这些醌类化合物的有效抗癌活性主要受极化率(MATS3p和BELp8)、范德华体积(GATS5v、GATS6v和Mor16v)、质量(G1m)、电负性(E1e)、偶极矩(dipole和EEig15d)以及环复杂度(RCI)和形状(SHP2)的影响。利用该模型对另外248个结构修饰化合物进行了设计和活性预测,并对预测活性较好的化合物进行了重点评价。此外,对这些化合物的药代动力学特征和潜在生物靶点的可能结合模式进行了虚拟评估。此外,还进行了构效关系分析,以突出关键的结构特征,有利于进一步成功设计相关的萘醌类化合物。
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
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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