Literature DB >> 31099307

Discovery of new potential triplet acting inhibitor for Alzheimer's disease via X-ray crystallography, molecular docking and molecular dynamics.

Maharajan Sivakumar1, Kandasamy Saravanan2, Velautham Saravanan3, Srinivasan Sugarthi4, Shankar Madan Kumar5, Mustafa Alhaji Isa6, Perumal Rajakumar3, Sanmargam Aravindhan1.   

Abstract

The most common brain disorder of late life is Alzheimer's disease (AD), which is highly complicating dementia. There are several drug targets which are reported to control the severe level of AD; notably, acetylcholinesterase, β-Secretase and glycogen synthase kinase enzymes are approached as a good drug targets for AD. Hence, the present study mainly focused to discover newly synthesized molecule (7-propyl-6H-pyrano[3,2-c:5,6-c']dichromene-6,8(7H)-dione) as a potential triplet acting drug for above said enzymes through the analysis of X-ray crystallography, molecular docking, molecular dynamics and quantum chemical calculation. The target drug molecule was crystallized in the monoclinic crystal structure with P21/n space group. The structure was solved by SHELXS and refined by SHELXL. The crystal packing is stabilized by C - H···O type of interactions. Further, the induced fit docking shows that the molecule has high docking score, glide energy, favorable hydrogen bonding and hydrophobic interactions on the protein targets. The molecular dynamics simulation was performed to understand the stability of the molecule in the presence of active site environment. Finally, quantum chemical calculation has been carried out for the molecule in gas phase and for the corresponding molecule lifted from the active site region. The structural comparison between gas phase and active site helps to understand the conformational modification of the molecule in the active site. Communicated by Ramaswamy H. Sarma.

Entities:  

Keywords:  Hirshfeld surface analysis; New synthesized coumarin derivative; X-ray crystallography; molecular docking and MD simulation; quantum chemical calculation

Mesh:

Year:  2019        PMID: 31099307     DOI: 10.1080/07391102.2019.1620128

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  1 in total

1.  Identification of novel acetylcholinesterase inhibitors through 3D-QSAR, molecular docking, and molecular dynamics simulation targeting Alzheimer's disease.

Authors:  Khalil El Khatabi; Reda El-Mernissi; Ilham Aanouz; Mohammed Aziz Ajana; Tahar Lakhlifi; Abbas Khan; Dong-Qing Wei; Mohammed Bouachrine
Journal:  J Mol Model       Date:  2021-09-28       Impact factor: 1.810

  1 in total

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