Structure‐Based Virtual Screening, ADMET analysis, and Molecular Dynamics Simulation of Moroccan Natural Compounds as Candidates α‐Amylase Inhibitors.
Published In: ChemistrySelect, 2023, v. 8, n. 26. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Abchir, Oussama; Yamari, Imane; Nour, Hassan; Daoui, Ossama; Elkhattabi, Souad; Errougui, Abdelkbir; Chtita, Samir 3 of 3
Abstract
Current treatments for diabetes mellitus are ineffective, as evidenced by the rise in diabetes cases. This has forced researchers to develop novel chemicals as drugs to block the enzyme alpha‐amylase as the severe way to treat diabetes disease. Many previous studies were done to determine the biological activity of a set of molecules isolated from medicinal plants. Morocco is renowned for the abundance of plants it has and for the traditional medical uses of these plants, which drives us to employ our cultural heritage and the variety of our nation's natural resources in the therapeutic area. In the current study, extensive research was conducted to compile a group of phytoconstituents derived from Moroccan plants and used in conventional Moroccan medicine to treat local illnesses. To assess the stability of the generated complexes, molecular docking of the investigated compounds was carried out in the active site of 4 distinct alpha‐amylase proteins. The remaining compounds with a high negative binding affinity were then subjected to the ADMET analysis to determine their pharmacological characteristics. The findings showed that two drugs have strong binding affinity for the target proteins and may be used orally as potential alpha‐amylase inhibitors. The results of molecular dynamics analysis and MMGBSA calculation were used to validate the optimal stability of created complexes (L97 with studied proteins 1HNY, 1OSE, 1UA7 and 1BAG). [ABSTRACT FROM AUTHOR]
Additional Information
- Source:ChemistrySelect. 2023/07, Vol. 8, Issue 26, p1
- Document Type:Article
- Subject Area:Complementary and Alternative Medicine
- Publication Date:2023
- ISSN:2365-6549
- DOI:10.1002/slct.202301092
- Accession Number:164935684
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