喹啉-查尔酮复合物的合理设计、生物学和硅评价:一种新的抗菌和抗癌药物

IF 3.1 4区 生物学 Q2 BIOLOGY
Ilker Kiliccioglu , Ahmad Badreddin Musatat , Gorkem Dulger , Alparslan Atahan , Basaran Dulger , Mustafa Zengin
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引用次数: 0

摘要

本文研究了新型喹啉-查尔酮杂化合物(nQCa-l)的合成、抗菌、抗癌和硅性能。它们的抗菌活性显示出广谱的功效,与几种标准抗生素和抗真菌药物相比,化合物2QC-h表现出更强的效力。对胃肠道系统癌细胞系(AGS, HepG2, HCT116)的抗癌潜力进行了评估,其中2QC-h成为最有效的抗增殖药物,其疗效通常超过奥沙利铂,特别是在AGS胃癌细胞中。机制研究表明,2QC-h通过线粒体内在途径协同诱导AGS细胞凋亡,抑制上皮-间质转化(epithelial-mesenchymal transition, EMT),从而增强奥沙利铂的抗癌作用。至关重要的是,2 qc-h表现出选择性细胞毒性对消化系统肿瘤细胞(AGS细胞:4.85 ±0.22   µg / mL和2.66±0.58  µg / mL, HCT116细胞: 6.61±0.29   µg / mL和2.39±0.57  µg / mL,和HepG2细胞: 9.14±0.49   µg / mL和6.15±0.27  µg / mL 24 h和48 h)和最小对健康的HUVEC细胞形态学的影响。计算研究,包括DFT分析、MEP、RDG、ELF、LOL和ALIE,提供了对电子结构、反应性和非共价相互作用的全面见解,阐明了构效关系(SAR)。分子对接模拟发现,VEGFR-2和EGFR是这些衍生物的优先靶点,具有纳摩尔结合亲和力,与实验细胞毒性强相关。ADME强调了有利的药物相似特性,同时确定了进一步优化的领域。总之,本研究确立了喹啉-查尔酮复合物作为一种有前景的多靶点治疗药物,具有开发新型抗菌和抗癌药物的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rational design, biological and in-silico evaluation of quinoline-chalcone hybrids: A new series of antimicrobial and anticancer agents
This study investigates the synthesis, antimicrobial, anticancer, and in silico properties of novel quinoline-chalcone hybrids (nQCa-l), which were synthesized and characterized. Their antimicrobial activity revealed broad-spectrum efficacy, with compound 2QC-h demonstrating superior potency compared to several standard antibiotics and antifungals. The anticancer potential was assessed against gastrointestinal system cancer cell lines (AGS, HepG2, HCT116), where 2QC-h emerged as the most potent antiproliferative agent, often surpassing oxaliplatin in efficacy, particularly in AGS gastric cancer cells. Mechanistic studies have demonstrated that 2QC-h synergistically induces apoptosis and inhibits epithelial-mesenchymal transition (EMT) in AGS cells through the intrinsic mitochondrial pathway, thereby enhancing the anticancer effect of oxaliplatin. Crucially, 2QC-h exhibited selective cytotoxicity towards gastrointestinal system cancer cells (AGS cells: 4.85 ± 0.22 µg/mL and 2.66 ± 0.58 µg/mL, HCT116 cells: 6.61 ± 0.29 µg/mL and 2.39 ± 0.57 µg/mL, and HepG2 cells: 9.14 ± 0.49 µg/mL and 6.15 ± 0.27 µg/mL for 24 h and 48 h, respectively) and minimal morphological effects on healthy HUVEC cells. Computational studies, including DFT analysis, MEP, RDG, ELF, LOL, and ALIE, provided comprehensive insights into the electronic structure, reactivity, and non-covalent interactions, elucidating the structure-activity relationships (SAR). Molecular docking simulations identified VEGFR-2 and EGFR as the preferential targets for these derivatives, with nanomolar binding affinities, which correlated strongly with experimental cytotoxic potencies. ADME highlighted favorable drug-likeness properties while identifying areas for further optimization. Overall, this research establishes quinoline-chalcone hybrids as promising multi-target therapeutic agents with significant potential for developing novel antimicrobial and anticancer drugs.
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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