Synthesis, in vitro α-amylase activity and molecular docking study of benzoxazole derivatives

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2024-03-19 DOI:10.1016/j.cdc.2024.101133
Hayat Ullah , Fazal Rahim , Imad Uddin , Misbah Ullah Khan , Fahad Khan , Amjad Hussain , Rafaqat Hussain , Shoaib Khan
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Abstract

In current study, an efficient and simple synthesis of phenyl-benzoxazoles derivatives (1–14) were carried out, upon cyclization of 2-aminophenol with substituted aldehyde. All synthesized derivatives were characterized through NMR and HREI-MS spectroscopic techniques. All derivatives showed from excellent to moderate inhibitory potential with IC50 value ranging from 0.80 ± 0.09 to 19.30 ± 0.49 µM as compared to the reference drug acarbose (IC50 = 1.70 ± 0.10 µM). Derivative 9 (IC50 = 0.80 ± 0.09 µM) was the most potent while derivative 10 (IC50 = 1.03 ± 0.03 µM) with stand second most potent one. Structural activity relationship (SAR) was carried out which mainly depend upon nature, position and number of the substituent/s on aryl ring. Molecular docking study was carried out to determine the binding interaction of the most potent derivatives in the active site/s of enzyme.

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苯并恶唑衍生物的合成、体外 α 淀粉酶活性和分子对接研究
在本研究中,通过 2-aminophenol 与取代醛的环化反应,高效而简单地合成了苯基苯并恶唑衍生物 (1-14)。通过 NMR 和 HREI-MS 光谱技术对所有合成的衍生物进行了表征。与参比药物阿卡波糖(IC50 = 1.70 ± 0.10 µM)相比,所有衍生物都显示出了极好到中等程度的抑制潜力,IC50 值从 0.80 ± 0.09 到 19.30 ± 0.49 µM。衍生物 9(IC50 = 0.80 ± 0.09 µM)的药效最强,而衍生物 10(IC50 = 1.03 ± 0.03 µM)的药效次之。结构活性关系(SAR)主要取决于芳基环上取代基的性质、位置和数量。进行了分子对接研究,以确定最有效衍生物在酶活性位点的结合相互作用。
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Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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