Synthesis, in vitro acetylcholinesterase, butyrylcholinesterase activities and molecular docking study of 1,3-oxathiol-2-imine derivatives

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2024-01-18 DOI:10.1016/j.cdc.2024.101120
Hayat Ullah , Muhammad Nabi , Maliha Sarfraz , Fahad Khan , Muhammad Saleem Khan , Rabia Khan , Mehboob Khan , Muhammed Perviaz , Fazal Rahim
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Abstract

We have synthesized eleven derivatives of 1,3-oxathio-2-imine, characterized through NMR, HREI-MS and evaluated against acetylcholinesterase and butyrylcholinesterase enzymes. All synthesized derivative showed good inhibitory potential, having IC50 value ranged from 1.10 ± 0.05 to 23.20 ± 0.40 µM (AChE) and 2.30 ± 0.10 to 32.00 ± 0.80 µM (BuChE) as compare to standard drug Donepzil (IC50 = 2.16 ± 0.12 & 4.5 ± 0.11 µM, respectively). In both case, derivative 7 (IC50 = 1.10 ± 0.05 µM & 2.30 ± 0.10 µM, respectively) was found the most potent among the series. Structure activity relationship was carried out which mainly depend upon the nature, position, number and electron donating/withdrawing effect of the substituent/s on phenyl ring. Molecular docking was carried out to determine the binding attraction of the most potent derivatives with the active site of enzymes.

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1,3-oxathiol-2-imine 衍生物的合成、体外乙酰胆碱酯酶和丁酰胆碱酯酶活性及分子对接研究
我们合成了 11 种 1,3-oxathio-2-imine 衍生物,通过核磁共振和 HREI-MS 对其进行了表征,并对乙酰胆碱酯酶和丁酰胆碱酯酶进行了评估。与标准药物多奈哌齐(IC50 = 2.16 ± 0.12 & 4.5 ± 0.11 µM)相比,所有合成的衍生物都表现出良好的抑制潜力,IC50 值分别为 1.10 ± 0.05 至 23.20 ± 0.40 µM(乙酰胆碱酯酶)和 2.30 ± 0.10 至 32.00 ± 0.80 µM(丁酰胆碱酯酶)。在这两种情况下,衍生物 7(IC50 = 1.10 ± 0.05 µM & 2.30 ± 0.10 µM,分别为 1.10 ± 0.05 µM & 2.30 ± 0.10 µM)被认为是该系列中最有效的。结构活性关系主要取决于苯环上取代基的性质、位置、数量和电子供/吸效应。进行了分子对接,以确定最有效的衍生物与酶活性位点的结合吸引力。
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来源期刊
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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