3D-QSAR-based pharmacophore modelling of quinazoline derivatives for the identification of acetylcholinesterase inhibitors through virtual screening, molecular docking, molecular dynamics and DFT studies-Reference-Cited by-同舟云学术

3D-QSAR-based pharmacophore modelling of quinazoline derivatives for the identification of acetylcholinesterase inhibitors through virtual screening, molecular docking, molecular dynamics and DFT studies

Published:2024-02-08 Issue: Volume: Page:1-15
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Kumar Vijay¹,Jangid Kailash¹²,Kumar Naveen¹,Kumar Vinay¹,Kumar Vinod¹^ORCID

Affiliation:

1. Department of Chemistry, Laboratory of Organic and Medicinal Chemistry, Central University of Punjab, Bathinda, India

2. Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Bathinda, India

Funder

Council of Scientific and Industrial Research, New Delhi

SERB-DST

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2024.2313157

Reference66 articles.

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2. Novel Sulphamides and Sulphonamides Incorporating the Tetralin Scaffold as Carbonic Anhydrase and Acetylcholine Esterase Inhibitors

3. P2Y12 antagonists: Approved drugs, potential naturally isolated and synthesised compounds, and related in-silico studies

4. An english translation of alzheimer's 1907 paper, ?�ber eine eigenartige erkankung der hirnrinde?

5. Lead identification and optimization

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