含硼姜黄素类化合物作为乙酰胆碱酯酶抑制剂和抗癌剂:合成、生物学评价和计算见解。

IF 2.5 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ferah Comert Onder, Kadircan Ural, Alper Onder, Bulent Ozpolat, Mehmet Ay
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引用次数: 0

摘要

阿尔茨海默病(AD)和癌症是重大的全球健康挑战,突出了开发新疗法的必要性。针对阿尔茨海默病和癌症的生物学机制可能是开发新型抑制剂的有效治疗策略。在这项研究中,我们研究了新合成的含硼姜黄素样化合物作为潜在的乙酰胆碱酯酶(AChE)抑制剂的作用及其对乳腺癌和结直肠癌细胞系的细胞毒作用。化合物A表现出较强的AChE抑制活性(IC50 = 22.89±2.32 nM),优于已知抑制剂多奈哌齐(IC50 = 28.32±3.27 nM)和他克林。化合物A对MCF-7和BT20细胞具有中等的细胞毒活性,IC50值分别为40.70±2.31 μM和41.71±4.51 μM。通过分子动力学(MD)模拟,化合物A和姜黄素复合物的RMSD值分别为1.56±0.20 Å和1.65±0.19 Å。获得了与特定氨基酸残基的相互作用,如AChE的Tyr124、Tyr337和Trp86, BChE的Trp82、His438和Tyr332。此外,MM/GBSA计算表明,与姜黄素(AChE为-67.87±5.48 kcal/mol, BChE为-51.68±5.28 kcal/mol)和他林(BChE为-56.67±2.22 kcal/mol)相比,化合物A的结合自由能最高(AChE为-88.89±8.34 kcal/mol, BChE为-73.25±8.83 kcal/mol)。综上所述,化合物A具有强大的乙酰胆碱酯酶抑制活性和抗癌潜力,是一种有前景的药物,在神经退行性疾病和癌症治疗方面有进一步的研究价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Boron Containing Curcumin-Like Compound as an Acetylcholinesterase Inhibitor and Anticancer Agent: Synthesis, Biological Evaluation, and Computational Insights.

Alzheimer's disease (AD) and cancer are significant global health challenges that highlight the need for the development of new therapeutics. Targeting biological mechanisms involved in both AD and cancer could be an effective treatment strategy for developing novel inhibitors. In this study, we investigated the effect of a newly synthesized boron containing curcumin-like compound as a potential acetylcholinesterase (AChE) inhibitor along with its cytotoxic effects on breast and colorectal cancer cell lines. Compound A exhibited a potent AChE inhibitory activity (IC50 = 22.89 ± 2.32 nM), demonstrating that it was more effective than the known inhibitors donepezil (IC50 = 28.32 ± 3.27 nM) and tacrine. Compound A showed a moderate cytotoxic activity on MCF-7 and BT20 cells with the IC50 values 40.70 ± 2.31 μM and 41.71 ± 4.51 μM, respectively. Throughout molecular dynamics (MD) simulations, the RMSD value of the protein was calculated as 1.56 ± 0.20 Å and 1.65 ± 0.19 Å for the complexes of compound A and curcumin, respectively. The interactions with specific amino acid residues such as Tyr124, Tyr337, and Trp86 for AChE, and Trp82, His438, and Tyr332 for BChE were obtained. Additionally, MM/GBSA calculations demonstrated that Compound A had the highest binding free energies (-88.89 ± 8.34 kcal/mol for AChE and -73.25 ± 8.83 kcal/mol for BChE) compared to curcumin (-67.87 ± 5.48 kcal/mol for AChE and -51.68 ± 5.28 kcal/mol for BChE) and tacrine (-56.67 ± 2.22 kcal/mol for BChE) were calculated. Overall, these findings suggest that Compound A is a promising agent with its potent AChE inhibitory activity and anticancer potential, making it a valuable candidate for further research in neurodegenerative diseases and cancer therapy.

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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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