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3
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新型抗癌黄酮类化合物作为潜在HDAC2抑制剂的发现:基于分子对接、密度泛函理论和分子动力学模拟研究的虚拟筛选方法

Discovery of novel anticancer flavonoids as potential HDAC2 inhibitors: virtual screening approach based on molecular docking, DFT and molecular dynamics simulations studies.

作者信息

Shah Ashish, Choudhary Aarti, Jain Manav, Perumal Sathiaseelan, Patel Vaishali, Parmar Ghanshyam, Patel Ashish

机构信息

Department of Pharmacy, Sumandeep Vidyapeeth Deemed to be University, Vadodara, Gujarat India.

Division of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, UT USA.

出版信息

3 Biotech. 2024 Mar;14(3):83. doi: 10.1007/s13205-023-03912-5. Epub 2024 Feb 18.

DOI:10.1007/s13205-023-03912-5
PMID:38375511
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10874358/
Abstract

UNLABELLED

Virtual screening of a library of 329 flavonoids obtained from the NPACT database was performed to find out potential novel HDAC2 inhibitors. Eleven out of 329 selected flavonoids were screened based on molecular docking studies, as they have higher binding affinities than the standard drugs vorinostat and panobinostat. All screened compounds occupying the catalytic site of HDAC2 showed important molecular interaction with Zn and other important amino acids in the binding pocket. The screened compounds were validated using ADMET filtration and bioactivity prediction from which we obtained six compounds, NPACT00270, NPACT00676, NPACT00700, NPACT001008, NPACT001054, and NPACT001407, which were analyzed using DFT studies. DFT studies were performed for all six screened flavonoids. In DFT studies, three flavonoids, NPACT00700, NPACT001008, and NPACT001407, were found to be better based on HOMO-LUMO and molecular electrostatic potential (MEP) analyses. Furthermore, MD simulations were performed for 100 ns for the three compounds. In the MD analysis, NPACT001407 was found to be more stable in the active site of HDAC2 as zinc formed a coordination bond with ASP181, HIS183, ASP269, and GLY305, along with two hydroxyl groups of the ligand. Our findings reveal that these flavonoids can interact as ligands with the active site of HDAC2. Because of the absence of a hydroxamate group in flavonoids, there are no possibilities for the formation of isocyanate. This suggests that the major drawback of current HDACs inhibitors may be solved. Further experimental validation is needed to understand the selectivity of flavonoids as HDAC2 inhibitors.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13205-023-03912-5.

摘要

未标记

对从NPACT数据库获得的329种黄酮类化合物库进行虚拟筛选,以找出潜在的新型HDAC2抑制剂。基于分子对接研究,从329种选定的黄酮类化合物中筛选出11种,因为它们比标准药物伏立诺他和帕比司他具有更高的结合亲和力。所有占据HDAC2催化位点的筛选化合物都与锌和结合口袋中的其他重要氨基酸表现出重要的分子相互作用。使用ADMET过滤和生物活性预测对筛选出的化合物进行验证,从中获得了六种化合物,即NPACT00270、NPACT00676、NPACT00700、NPACT001008、NPACT001054和NPACT001407,并使用密度泛函理论(DFT)研究进行分析。对所有六种筛选出的黄酮类化合物进行了DFT研究。在DFT研究中,基于最高占据分子轨道(HOMO)-最低未占据分子轨道(LUMO)和分子静电势(MEP)分析,发现三种黄酮类化合物NPACT00700、NPACT001008和NPACT001407表现更好。此外,对这三种化合物进行了100纳秒的分子动力学(MD)模拟。在MD分析中,发现NPACT001407在HDAC2的活性位点更稳定,因为锌与ASP181、HIS183、ASP269和GLY305以及配体的两个羟基形成了配位键。我们的研究结果表明,这些黄酮类化合物可以作为配体与HDAC2的活性位点相互作用。由于黄酮类化合物中不存在异羟肟酸基团,因此不可能形成异氰酸酯。这表明当前HDAC抑制剂的主要缺点可能得到解决。需要进一步的实验验证来了解黄酮类化合物作为HDAC2抑制剂的选择性。

补充信息

在线版本包含可在10.1007/s13205-023-03912-5获取的补充材料。