ArticleRSC advances2024
Identification of acetylcholinesterase inhibitors from traditional medicinal plants for Alzheimer's disease using
Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Integrating Artificial Intelligence Into Drug Discovery From Medicinal Plants: Current Applications and Infrastructural Challenges.Chemical biology & drug design · 2026Review
- Insecticidal Potential ofInsects · 2026Article
- TropMol-Caipora: A Cloud-Based Web Tool to Predict Cruzain Inhibitors by Machine Learning.ACS omega · 2026Article
- Deciphering the Multitarget Neuroprotective Potential of Ficus microcarpa L. f. Leaf Extract: Insights From Phytochemical, Computational, and Experimental Approaches.Chemistry & biodiversity · 2026Article
- Article
- Article
- Multi-omics pan-cancer profiling of CDK2 andRSC advances · 2025Article
- In silico screening of naturally derived dietary compounds as potential butyrylcholinesterase inhibitors for Alzheimer's disease treatment.Scientific reports · 2025Article
- Comprehensive metabolite profiling and evaluation of anti-nociceptive and anti-inflammatory potencies ofHeliyon · 2025Article
- Assessment of Cell Viability in Drug Therapy: IC50 and Other New Time-Independent Indices for Evaluating Chemotherapy Efficacy.Pharmaceutics · 2025Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acetylcholinesterase (AChE) holds significance in Alzheimer's disease (AD), where cognitive impairment correlates with insufficient acetylcholine levels. AChE's role involves the breakdown of acetylcholine, moderating cholinergic neuron activity to prevent overstimulation and signal termination. Hence, inhibiting AChE emerges as a potential treatment avenue for AD. A library of 2500 compounds, derived from 25 traditionally used medicinal plants, was constructed using the IMPAAT database of traditional medicinal plants. The canonical SMILES of these compounds were collected and underwent virtual screening based on physicochemical properties, with subsequent determination of IC
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Registered trials
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