Synthesis, In vitro biological evaluation and molecular modeling study of thiadiazole-sulphonamide hybrid derivatives as potential anti-Alzheimer agents
Javed Khan , Hayat Ullah , Shawkat Hayat , Shahzad Ahmad Abbasi , Asmat Bibi , Kainat Bibi , Muhammad Nabi , Muhammad Saleem Khan , Lala Gurbanova , Kasim Sakran Abass
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引用次数: 0
Abstract
A series of thiadiazole-sulphonamide hybrid compounds (1–14) were synthesized, characterized through ¹HNMR, ¹³CNMR, HR-MS and evaluated against acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) enzymes. All analogues exhibited inhibitory activity, with IC₅₀ values between 1.40 to 11.40 µM (against AChE), and 3.70 to 16.20 µM (against BuChE), as compared to standard drug Donepezil (IC₅₀ = 2.16 and 4.5 µM, respectively). Several analogues demonstrated superior activity such as 2, 7, and 10 showed strong dual inhibition, with IC₅₀ values of 2.10, 1.80, and 1.40 µM, respectively (AChE), and IC₅₀ values of 3.70 ± 0.30, 4.20 ± 0.20, and 4.40 ± 0.10 µM, respectively (BuChE). Structure–activity relationship analysis revealed that specific substituents played a key role in enhancing enzyme inhibition. Additionally, molecular docking studies provided further insight into the interactions of the most potent inhibitors with the active sites of the target enzymes, which supported the experimental findings.
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.