Centro de Investigaciones Químicas, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Av. Universidad No. 1001, Cuernavaca 62210, Mexico.
Centro de Investigación en Dinámica Celular, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Av. Universidad No. 1001, Cuernavaca 62210, Mexico.
Molecules. 2023 Jul 18;28(14):5486. doi: 10.3390/molecules28145486.
In this work, we carried out the design and synthesis of new chimeric compounds from the natural cytotoxic chalcone 2',4'-dihydroxychalcone (2',4'-DHC, ) in combination with cinnamic acids. For this purpose, a descriptive and predictive quantitative structure-activity relationship (QSAR) model was developed to study the chimeric compounds' anti-cancer activities against human breast cancer MCF-7, relying on the presence or absence of structural motifs in the chalcone structure, like in a Free-Wilson approach. For this, we used 207 chalcone derivatives with a great variety of structural modifications over the α and β rings, such as halogens (F, Cl, and Br), heterocyclic rings (piperazine, piperidine, pyridine, etc.), and hydroxyl and methoxy groups. The multilinear equation was obtained by the genetic algorithm technique, using logIC as a dependent variable and molecular descriptors (constitutional, topological, functional group count, atom-centered fragments, and molecular properties) as independent variables, with acceptable statistical parameter values (R2 = 86.93, Q2 = 82.578, Q2 = 80.436, and Q2 = 80.226), which supports the predictive ability of the model. Considering the aromatic and planar nature of the chalcone and cinnamic acid cores, a structural-specific QSAR model was developed by incorporating geometrical descriptors into the previous general QSAR model, again, with acceptable parameters (R2 = 85.554, Q2 = 80.534, Q2 = 78.186, and Q2 = 79.41). Employing this new QSAR model over the natural parent chalcone 2',4'-DHC () and the chimeric compound 2'-hydroxy,4'-cinnamate chalcone (), the predicted cytotoxic activity was achieved with values of 55.95 and 17.86 µM, respectively. Therefore, to corroborate the predicted cytotoxic activity compounds and were synthesized by two- and three-step reactions. The structures were confirmed by H and C NMR and ESI+MS analysis and further evaluated in vitro against HepG2, Hep3B (liver), A-549 (lung), MCF-7 (breast), and CasKi (cervical) human cancer cell lines. The results showed IC values of 11.89, 10.27, 56.75, 14.86, and 29.72 µM, respectively, for the chimeric cinnamate chalcone . Finally, we employed as a molecular scaffold for the generation of cinnamate candidates (-), which incorporated structural motifs that enhance the cytotoxic activity (pyridine ring, halogens, and methoxy groups) according to our QSAR model. ADME/tox in silico analysis showed that the synthesized compounds and , as well as the proposed chalcones and , are the best candidates with adequate drug-likeness properties. From all these results, we propose (as a molecular scaffold) and our two QSAR models as reliable tools for the generation of anti-cancer compounds over the MCF-7 cell line.
在这项工作中,我们设计并合成了新型嵌合化合物,这些化合物由天然细胞毒性查尔酮 2',4'-二羟基查尔酮(2',4'-DHC)与肉桂酸组合而成。为此,我们开发了一个描述性和预测性定量构效关系(QSAR)模型,以研究查尔酮结构中存在或不存在结构基序(如游离威尔森方法)对人乳腺癌 MCF-7 的抗癌症活性。为此,我们使用了 207 种具有各种结构修饰的查尔酮衍生物,这些修饰涉及 α 和 β 环,如卤素(F、Cl 和 Br)、杂环(哌嗪、哌啶、吡啶等)以及羟基和甲氧基。多线性方程通过遗传算法技术获得,使用 logIC 作为因变量,分子描述符(组成、拓扑、官能团计数、原子中心片段和分子性质)作为自变量,具有可接受的统计参数值(R2 = 86.93,Q2 = 82.578,Q2 = 80.436,Q2 = 80.226),这支持了模型的预测能力。考虑到查尔酮和肉桂酸核心的芳香性和平面性,通过将几何描述符纳入先前的通用 QSAR 模型,开发了一个结构特异性的 QSAR 模型,同样具有可接受的参数(R2 = 85.554,Q2 = 80.534,Q2 = 78.186,Q2 = 79.41)。在天然母体查尔酮 2',4'-DHC()和嵌合化合物 2'-羟基,4'-肉桂酰基查尔酮()上使用这个新的 QSAR 模型,分别实现了预测的细胞毒性活性,其值分别为 55.95 和 17.86 µM。因此,为了证实预测的细胞毒性活性,化合物和通过两步和三步反应合成。通过 1H 和 13C NMR 以及 ESI+MS 分析确认了结构,并进一步在体外对 HepG2、Hep3B(肝脏)、A-549(肺)、MCF-7(乳腺)和 CasKi(宫颈)人类癌细胞系进行了评估。结果表明,嵌合肉桂酰基查尔酮的 IC 值分别为 11.89、10.27、56.75、14.86 和 29.72 µM。最后,我们将作为分子支架,用于生成肉桂酸候选物(-),根据我们的 QSAR 模型,这些候选物包含增强细胞毒性活性的结构基序(吡啶环、卤素和甲氧基)。ADME/tox 计算机模拟分析表明,所合成的化合物和以及所提出的查尔酮和都是具有适当药物样性质的最佳候选物。根据所有这些结果,我们提出(作为分子支架)和我们的两个 QSAR 模型作为针对 MCF-7 细胞系生成抗癌化合物的可靠工具。