Design, synthesis, in vitro, and in silico study of benzothiazole-based compounds as a potent anti-Alzheimer agent.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-07 DOI:10.1007/s11030-024-10909-6
Saquib Jalil, Ghulam Shabir, Aamer Saeed, Jamshed Iqbal
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Abstract

Alzheimer's disease (AD) is a multifactorial neurological disorder that involves multiple enzymes in the process of developing. Conventional monotherapies provide relief, necessitating alternative multi-targeting approaches to address AD complexity. Therefore, we synthesize N-(benzo[d]thiazol-2-yl) benzamide-based compounds and tested against monoamine oxidases (MAO-A and MAO-B). In the in vitro experimental evaluation of MAO, all the compounds displayed remarkable potency, having IC50 values in the lower micromolar range. The most potent MAO-A inhibitor was (3e) with an IC50 value of 0.92 ± 0.09 μM, whereas, (3d) was the most potent inhibitor of MAO-B with an IC50 value of 0.48 ± 0.04 μM. Moreover, Enzyme kinetics studies revealed that the potent inhibitors of MAO-A and MAO-B showed competitive mode of inhibition. Furthermore, molecular docking studies were also performed to confirm the mode of inhibition and obtain an intuitive picture of potent inhibitors. It also revealed several important interactions, particularly hydrogen bonding interaction. All the newly synthesized compounds showed good ADME pharmacokinetic profile and followed Lipinski rule; these compounds represent promising hits for the development of promising lead compounds for AD treatment.

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苯并噻唑类化合物作为强效抗老年痴呆剂的设计、合成、体外和硅学研究。
阿尔茨海默病(AD)是一种多因素神经系统疾病,在发病过程中涉及多种酶。传统的单一疗法只能起到缓解作用,因此需要采用其他多靶点方法来解决阿尔茨海默病的复杂性。因此,我们合成了 N-(苯并[d]噻唑-2-基)苯甲酰胺类化合物,并针对单胺氧化酶(MAO-A 和 MAO-B)进行了测试。在 MAO 的体外实验评估中,所有化合物都显示出显著的效力,其 IC50 值都在较低的微摩尔范围内。最有效的 MAO-A 抑制剂是 (3e),其 IC50 值为 0.92 ± 0.09 μM,而 (3d) 是最有效的 MAO-B 抑制剂,其 IC50 值为 0.48 ± 0.04 μM。此外,酶动力学研究表明,这些强效抑制剂对 MAO-A 和 MAO-B 具有竞争性抑制作用。此外,还进行了分子对接研究,以确认抑制模式并获得强效抑制剂的直观图像。研究还发现了几种重要的相互作用,尤其是氢键相互作用。所有新合成的化合物都显示出良好的 ADME 药代动力学特征,并遵循 Lipinski 规则;这些化合物代表了有望开发出治疗注意力缺失症的先导化合物的新化合物。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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