ArticleJournal of traditional and complementary medicine2021
Identification of phytochemicals from North African plants for treating Alzheimer's diseases and of their molecular targets by in silico network pharmacology approach.
Article in Journal of traditional and complementary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Advanced hybrid-green ultrasound-infrared-microwave Trifolium repens essential oil isolation with multi-target ethnomedicine bioactivity against neuropathy, inflammation and multidrug-resistant infection.Journal of food and drug analysis · 2026Article
- Deciphering the Multitarget Neuroprotective Potential of Ficus microcarpa L. f. Leaf Extract: Insights From Phytochemical, Computational, and Experimental Approaches.Chemistry & biodiversity · 2026Article
- Therapeutic Potential of products derived from Pluchea lanceolata for Alzheimer's Disease Treatment.Journal of molecular neuroscience : MN · 2025Article
- Article
- Promising Natural Remedies for Alzheimer's Disease Therapy.Molecules (Basel, Switzerland) · 2025Review
- A Novel In Vivo Method UsingPharmaceuticals (Basel, Switzerland) · 2024Article
- Network Pharmacology, Molecular Dynamics and In Vitro Assessments of Indigenous Herbal Formulations for Alzheimer's Therapy.Life (Basel, Switzerland) · 2024Article
- The Mechanism of Plantaginis Semen in the Treatment of Diabetic Nephropathy based on Network Pharmacology and Molecular Docking Technology.Endocrine, metabolic & immune disorders drug targets · 2024Article
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Abstract
backgroundThe global social expenses of Alzheimer's disease (AD) have been increased to US$1 trillion due to high cost, side-effects, and low efficiency of the current AD-therapies. Another reason is the lack of preventive drugs and the low-income situation of Asian and African countries. Accordingly, patients rather prefer traditional herbal remedies. Network-pharmacology has been a well-established method for the visualization and the construction of disorder target protein-drug framework. This could aid in the identification of drugs molecular-mechanisms.
aimThe aim of this study is to investigate the phytochemical constituents that could target Alzheimer's disease from the North African plants. This could be done by exploring their possible mechanisms of action through molecular network pharmacology-based approach. EXPERIMENTAL PROCEDURE: The Phytochemical-compounds of North-African plants (NAP) have been accessed from open-databank. ADME-screening has been conducted for filtering of the NAP phytochemical-constituents utilizing Qikprop-software. The open STITCH databank has been utilized for the prediction of the phytochemical-constituents target-proteins; UniProt and TDD-DB databanks have been utilized for distinguishing AD-related proteins. Phytochemical constituent-target protein (C-T) and plant-phytochemical constituent-target protein (P-C-T) frameworks have been assembled utilizing Cytoscape to interpret the anti-Alzheimer's disease mechanism of action of the targeted phytochemical constituents.
resultsThe NAP 6842 phytochemical-constituents (from more than 1000 plants) have been exposed to ADME and CNS modulating filtration, generating 94 phytochemical-constituents which have been subjected to target-prediction investigation. The 94 phytochemical-constituents and the 4 AD-identified targets have been associated through 155 edges which formed the main pathways related to AD. Cuparene, alpha-selinene, beta-sesquiphellandrene, calamenene, 2-4-dimethylheptane, undecane,
conclusionThe phytochemical-targets prediction of NAP utilizing molecular-network pharmacology-based investigation has paved the way for networking multi-target, multi-constituent, and multi-pathway mechanisms. This may introduce potential future targets for the regulation and the management of Alzheimer's disease. TAXONOMY CLASSIFICATION BY EVISE: Alzheimer's disease, Network pharmacology, In-silico computer based approach.
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