Hayat Ullah , Fazal Rahim , Imad Uddin , Muhammad Taha , Misbah Ullah Khan , Fahad Khan , Shoaib Khan , Rafaqat Hussain , Amjad Hussain , Naveed Iqbal , Farzana Gul
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Cholinesterase inhibitors for the treatment of Alzheimer's disease: Synthesis, biological analysis and molecular docking study of sulphur containing heterocyclic analogues
In synthetic medicinal chemistry thiophene and their analogues play a vital role due to the wide range of pharmacological properties. In current studies, we have synthesized a new class of thiophene-bearing sulfonamide analogues (1–11) as cholinesterase inhibitors. These newly synthesized upon esterification, hydrazide formation and finally through sulfonamide mode of synthesis and were characterized through 1H, 13C NMR and HREI-MS spectroscopic techniques. Synthesized analogues showed an excellent to moderate cholinesterase inhibitory potential. Analogues 10, 7, 9 and 11 showed an excellent potency against cholinesterase inhibition as compared to standard Donepezil. The binding interactions of the most potent analogues were confirmed through molecular docking studies. All Compounds were verified for cytotoxicity against 3T3 mouse fibroblast cell line and detected non-toxic.
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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