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噻吩并嘧啶-羟肟酸类嵌合激酶 HDAC 抑制剂的分子设计、合成与生物评价:一种具有挑战性的抗癌方法。

Molecular design, synthesis and biological evaluation of thienopyrimidine-hydroxamic acids as chimeric kinase HDAC inhibitors: a challenging approach to combat cancer.

机构信息

Pharmaceutical Chemistry Department, Faculty of Pharmacy, Misr International University, Cairo, Egypt.

Pharmaceutical Chemistry Department, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.

出版信息

J Enzyme Inhib Med Chem. 2021 Dec;36(1):1290-1312. doi: 10.1080/14756366.2021.1933465.

DOI:10.1080/14756366.2021.1933465
PMID:34187263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8253220/
Abstract

A series of thieno[2,3-]pyrimidine-based hydroxamic acid hybrids was designed and synthesised as multitarget anti-cancer agents, through incorporating the pharmacophore of EGFR, VEGFR2 into the inhibitory functionality of HDAC6. Three compounds were promising hits, whereas exhibited potent VEGFR2 inhibition (IC=185 nM), potent EGFR inhibition (IC=1.14 µM), and mild HDAC6 inhibition (23% inhibition). Moreover, compound was the most potent dual inhibitor among all the synthesised compounds, as it exhibited potent EGFR and VEGFR2 inhibition (IC=19 nM) and (IC=5.58 µM), respectively. While compounds and displayed nanomolar selective kinase inhibition with EGFR IC= 68 nM and VEGFR2 IC= 191 nM, respectively. All of the synthesised compounds were screened for their cytotoxic effect on 60 human NCI tumour cell lines. Additionally, molecular docking studies and ADMET studies were carried out to gain further insight into their binding mode and predict the pharmacokinetic properties of all the synthesised inhibitors.

摘要

设计并合成了一系列基于噻吩并[2,3-b]嘧啶的偕氨肟类混合化合物,作为多靶点抗癌药物,通过将 EGFR、VEGFR2 的药效团与 HDAC6 的抑制功能相结合。有 3 个化合物具有潜在的应用价值,其中化合物 显示出对 VEGFR2 的强烈抑制作用(IC=185nM),对 EGFR 的强烈抑制作用(IC=1.14µM)和温和的 HDAC6 抑制作用(抑制率为 23%)。此外,化合物 是所有合成化合物中最有效的双抑制剂,因为它对 EGFR 和 VEGFR2 的抑制作用较强(IC=19nM 和 IC=5.58µM)。化合物 和 对 EGFR 的抑制作用较强(IC=68nM),对 VEGFR2 的抑制作用较强(IC=191nM),均显示出纳摩尔选择性激酶抑制作用。所有合成的化合物均在 60 个人类 NCI 肿瘤细胞系中进行了细胞毒性筛选。此外,还进行了分子对接研究和 ADMET 研究,以深入了解它们的结合模式,并预测所有合成抑制剂的药代动力学特性。

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