Akış Berna, Çakmak Reşit, Şentürk Murat
Department of Chemistry, Graduate Education Institute, Batman University, 72100, Batman, Türkiye.
Medical Laboratory Techniques Program, Vocational School of Health Services, Batman University, 72060, Batman, Türkiye.
Chem Biodivers. 2024 Dec;21(12):e202401849. doi: 10.1002/cbdv.202401849. Epub 2024 Oct 18.
In this study, some new hydrazone derivatives (2a-g) was designed, synthesized for first time, and evaluated as multitarget inhibitors of AChE, BChE, hCA I and hCA II. The chemical structures of new hybrids were confirmed by elemental analysis and some spectroscopic techniques. All tested compounds showed low nanomolar inhibition with IC values of in the range of 30.4-264.0 nM against hCA I, 23.2-251.6 nM against hCA II, 12.1-114.3 nM against AChE, and 76.4-134.0 nM against BChE. These compounds inhibited hCA I and AChE more than acetazolamide (AZA) and neostigmine. Among them, compounds 2c and 2e, which have a linear structure, were determined to be the most active inhibitor candidates against these selected enzymes. Molecular docking studies were carried out on the compounds (2a--g), revealing their binding interactions with the active site of AChE, BChE, hCA I and hCA II thus supporting the experimental findings. Additionally, in silico absorption, distribution, metabolism, and excretion (ADME) prediction studies of the obtained compounds (2a--g) with in silico approaches were carried out to determine their solubility, whether they have the potential to cross the blood-brain barrier (BBB), values such as GI absorption and drug likeness principles.
在本研究中,首次设计并合成了一些新型腙衍生物(2a - g),并将其评估为乙酰胆碱酯酶(AChE)、丁酰胆碱酯酶(BChE)、人碳酸酐酶I(hCA I)和人碳酸酐酶II(hCA II)的多靶点抑制剂。通过元素分析和一些光谱技术确定了新杂化物的化学结构。所有测试化合物均表现出低纳摩尔抑制活性,对hCA I的IC值范围为30.4 - 264.0 nM,对hCA II为23.2 - 251.6 nM,对AChE为12.1 - 114.3 nM,对BChE为76.4 - 134.0 nM。这些化合物对hCA I和AChE的抑制作用比乙酰唑胺(AZA)和新斯的明更强。其中,具有线性结构的化合物2c和2e被确定为针对这些选定酶的最具活性的抑制剂候选物。对化合物(2a - g)进行了分子对接研究,揭示了它们与AChE、BChE、hCA I和hCA II活性位点的结合相互作用,从而支持了实验结果。此外,采用计算机模拟方法对所得化合物(2a - g)进行了计算机模拟吸收、分布、代谢和排泄(ADME)预测研究,以确定它们的溶解度、是否有穿越血脑屏障(BBB)的潜力、胃肠道吸收等数值以及药物相似性原则。