Literature DB >> 25960230

Use of ligand-based pharmacophore modeling and docking approach to find novel acetylcholinesterase inhibitors for treating Alzheimer's.

Jaspreet Kaur Dhanjal1, Sudhanshu Sharma1, Abhinav Grover2, Asmita Das3.   

Abstract

Alzheimer's disease is a neurological disorder in which the patient suffers from memory loss and impaired cognitive abilities. Though the main cause of the disease is not yet known, depletion of neurotransmitter at synaptic junctions, accumulation of insoluble beta amyloid plaques and neurofibrillary tangles are the main pathologies associated with it. The FDA approved drugs for alzheimer's belong to the category of acetylcholinesterase inhibitors. But most of the drugs have been observed to be associated with adverse side effects. In this study, we have developed a pharmacophore (responsible for interaction with acetylcholinesterase active site) based on the already existing drugs and drug candidates. This pharmacophore was used to search for novel AChE inhibitors with altogether different chemical scaffold using high throughput virtual screening and docking studies. Finally, we have reported two compounds, OPA and OMT, which possess high affinity for catalytic site of AChE enzyme and thus, can be considered as potential AChE inhibitors for the symptomatic treatment of Alzheimer's.
Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Acetylcholinesterase inhibitors; Alzheimer's; Drug design; Molecular docking; Pharmacophore

Mesh:

Substances:

Year:  2015        PMID: 25960230     DOI: 10.1016/j.biopha.2015.02.010

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  6 in total

1.  Computer-Aided Multi-Target Management of Emergent Alzheimer's Disease.

Authors:  Hyunjo Kim; Hyunwook Han
Journal:  Bioinformation       Date:  2018-05-05

2.  Novel hits for acetylcholinesterase inhibition derived by docking-based screening on ZINC database.

Authors:  Irini Doytchinova; Mariyana Atanasova; Iva Valkova; Georgi Stavrakov; Irena Philipova; Zvetanka Zhivkova; Dimitrina Zheleva-Dimitrova; Spiro Konstantinov; Ivan Dimitrov
Journal:  J Enzyme Inhib Med Chem       Date:  2018-12       Impact factor: 5.051

3.  Pharmmaker: Pharmacophore modeling and hit identification based on druggability simulations.

Authors:  Ji Young Lee; James M Krieger; Hongchun Li; Ivet Bahar
Journal:  Protein Sci       Date:  2019-12-04       Impact factor: 6.725

4.  Multiple 3D-QSAR modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel AChE inhibitors.

Authors:  Srabanti Jana; Ankit Ganeshpurkar; Sushil Kumar Singh
Journal:  RSC Adv       Date:  2018-11-26       Impact factor: 4.036

5.  Identification of Novel Src Inhibitors: Pharmacophore-Based Virtual Screening, Molecular Docking and Molecular Dynamics Simulations.

Authors:  Yi Zhang; Ting-Jian Zhang; Shun Tu; Zhen-Hao Zhang; Fan-Hao Meng
Journal:  Molecules       Date:  2020-09-08       Impact factor: 4.411

6.  Design of Curcumin and Flavonoid Derivatives with Acetylcholinesterase and Beta-Secretase Inhibitory Activities Using in Silico Approaches.

Authors:  Thai-Son Tran; Minh-Tri Le; Thanh-Dao Tran; The-Huan Tran; Khac-Minh Thai
Journal:  Molecules       Date:  2020-08-10       Impact factor: 4.411

  6 in total

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