Computational screening of foxtail millet (Setaria italica (L.) P.Beauv.) polyphenols for finding β-secretase (BACE 1) inhibitors that target the amyloidogenic pathway in Alzheimer's disease

Author:

Cheemanapalli Srinivasulu1,Golla Ramanjaneyulu23,Koyyagura Jagadeeswar Reddy4,Pulicherla Yugandhar1,Bhardwaj Yashpal1,Bhuyan Birina1,Taboh Mumtam1,Nagayya Shiddamallayya5,Saddala Rajeswara Reddy6

Affiliation:

1. CCRAS-Regional Ayurveda Research Institute, Itanagar, Arunachal Pradesh, India

2. School of Allied Health Sciences, Reva University, Bangalore, Karnataka, India

3. Department of Microbiology, Sri Krishnadevaraya University, Anantapuramu, India

4. Bioinformatics Division, Department of Biotechnology, Sri Venkateswara Institute of Medical Sciences, Tirupati, Andhra Pradesh, India

5. Central Council for Research in Ayurvedic Sciences (CCRAS), New Delhi, India

6. Division of Ethnopharmacology, Department of Biotechnology, School of Herbal Studies and Natural Sciences, Dravidian University, Kuppam, Andhra Pradesh, India

Abstract

Abstract BACKGROUND: Foxtail millet (FM; Setaria italica (L.) P.Beauv.) is known for its antioxidant and neuroprotective action against Alzheimer's disease (AD); hence the present study aims to screen its polyphenols to find less toxic and potentially effective anti-Alzheimer's drugs. MATERIALS AND METHODS: The details about phyto-compounds of FM and the β-secretase enzyme (BACE 1) of AD have been retrieved from the PubChem compound database and protein data bank, respectively. The Patch Dock server was used to carry out docking experiments. Initially, all the FM phytocompounds and reference drug (MK-8931) were subjected to docking, and subsequently, the best-docked complexes were selected based on their binding energy (in kcal/mol). Rule of five and adsorption, distribution, metabolism, excretion, and toxicity (ADMET) of selected compounds were analyzed using various computational tools. The final docking complexes were developed by using PyMOL. RESULTS: The molecular docking results revealed that among the 24 polyphenols studied, two compounds, namely N′-p-coumaroyl-N″-caffeoylspermidine (NPCNCS) and di-P-coumaroylspermidine (DPCS), demonstrated strong binding to the active site of β-secretase. and exhibited higher binding energies of -300.75 kcal/mol and -193.41 kcal/mol, respectively, in comparison to the reference drug MK-8931, with a binding energy of -154.36 kcal/mol. These compounds established hydrogen bond interactions with catalytic dyad (Asp 32 and Asp 228) and other accessory interactions with residues of the “flap” hairpin loop and “10s loop” of the β-secretase active site involved in the stabilization of substrate/inhibitor binding. In a nutshell, the NPCNCS and DPCS have shown more robust binding affinity than MK-8931 and docked well into the interior side of the active site. On the other hand, NPCNCS and DPCS have satisfied the RO5 and ADMET filters. CONCLUSIONS: The in silico analysis of FM polyphenols revealed that the N′-p-coumaroyl-N″-feruloylspermidine and di-P-coumaroylspermidine compounds exhibited non-toxic, permeability to blood-brain barrier and solid binding affinity toward β-secretase enzyme thereby; these millet compounds might be considered as β-secretase inhibitors for treating AD.

Publisher

Medknow

Subject

General Engineering

Reference38 articles.

1. Alzheimer's disease facts and figures;Alzheimers Dement,2023

2. Alzheimer's disease: Genes, proteins, and therapy;Selkoe;Physiol Rev,2001

3. The amyloid cascade hypothesis for Alzheimer's disease: An appraisal for the development of therapeutics;Karran;Nat Rev Drug Discov,2011

4. Alzheimer's disease drug development pipeline: 2021;Cummings;Alzheimers Dement (N Y),2021

5. The amyloid hypothesis of Alzheimer's disease at 25 years;Selkoe;EMBO Mol Med,2016

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