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Biochem Biophys Res Commun. 2014 Jan 17;443(3):1054-9. doi: 10.1016/j.bbrc.2013.12.088. Epub 2013 Dec 21.

Mechanistic insights into mode of action of potent natural antagonists of BACE-1 for checking Alzheimer's plaque pathology.

Author information

1
School of Biotechnology, Jawaharlal Nehru University, New Delhi 110067, India.
2
Apaji Institute of Mathematics & Applied Computer Technology, Banasthali University, Tonk 304022, Rajasthan, India.
3
Department of Biotechnology, Delhi Technological University, New Delhi 110042, India.
4
Department of Biochemistry, University of Kashmir, Srinagar 190006, India.
5
School of Biotechnology, Jawaharlal Nehru University, New Delhi 110067, India. Electronic address: abhinavgr@gmail.com.

Abstract

Alzheimer's is a neurodegenerative disorder resulting in memory loss and decline in cognitive abilities. Accumulation of extracellular beta amyloidal plaques is one of the major pathology associated with this disease. β-Secretase or BACE-1 performs the initial and rate limiting step of amyloidic pathway in which 37-43 amino acid long peptides are generated which aggregate to form plaques. Inhibition of this enzyme offers a viable prospect to check the growth of these plaques. Numerous efforts have been made in recent years for the generation of BACE-1 inhibitors but many of them failed during the preclinical or clinical trials due to drug related or drug induced toxicity. In the present work, we have used computational methods to screen a large dataset of natural compounds to search for small molecules having BACE-1 inhibitory activity with low toxicity to normal cells. Molecular dynamics simulations were performed to analyze molecular interactions between the screened compounds and the active residues of the enzyme. Herein, we report two natural compounds of inhibitory nature active against β-secretase enzyme of amyloidic pathway and are potent lead molecules against Alzheimer's disease.

KEYWORDS:

Alzheimer’s; BACE-1; Docking; High throughput virtual screening; Molecular dynamics simulation; Natural compound

PMID:
24365147
DOI:
10.1016/j.bbrc.2013.12.088
[Indexed for MEDLINE]
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