ArticleScientific reports2018
Identification of novel acetylcholinesterase inhibitors designed by pharmacophore-based virtual screening, molecular docking and bioassay.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
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Who cites it
43 citing papers in PubMed.
- Design, synthesis, and biological evaluation of coumarin derivatives against tuberculosis: a pharmacophore-based approach.Molecular diversity · 2026Article
- Integrative computational and experimental identification of marine bacterial acetylcholinesterase inhibitors against alzheimer's disease.Molecular diversity · 2026Article
- Explainable Artificial Intelligence (XAI) and Molecular Modeling Techniques to Discover Putative HER2 Inhibitors.International journal of molecular sciences · 2026Article
- Research Progress and Screening Strategies of Natural Product-Derived Neuraminidase Inhibitors.Biosensors · 2026Review
- Rational design of low-risk and high-efficiency β-triketone herbicide alternatives via integrative computational toxicology and NGBoost modeling.Molecular diversity · 2026Article
- Synthesis and integrative multimodal evaluation of cholic acid-based hydrazone conjugates: in vitro, in silico, and in vivo studies.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
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- Enhanced therapeutic potential of paeoniflorin and vitamin B12 in intracerebropeduncle ethidium bromide-induced multiple sclerosis-like pathology.Frontiers in pharmacology · 2026Article
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- Isolation and characterization of bioactive constituents fromRSC advances · 2025Article
- Seaweed-based PPO inhibitors as a new frontier in biological weed control for sorghum cultivation: from ocean to field.Protoplasma · 2025Article
- Applications of artificial intelligence in drug discovery for neurological diseases.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Review
- dyphAI dynamic pharmacophore modeling with AI: a tool for efficient screening of new acetylcholinesterase inhibitors.Frontiers in chemistry · 2025Article
- Structure-Based QSAR Modeling of RET Kinase Inhibitors from 49 Different 5,6-Fused Bicyclic Heteroaromatic Cores to Patent-Driven Validation.ACS omega · 2024Article
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- Enhanced Antioxidant and Neuroprotective Properties of Pterostilbene (Resveratrol Derivative) in Amorphous Solid Dispersions.International journal of molecular sciences · 2024Article
- Molecular docking analysis of flavonoids with AChE and BACE-1.Bioinformation · 2024Article
- Virtual screening of acetylcholinesterase inhibitors through pharmacophore-based 3D-QSAR modeling, ADMET, molecular docking, and MD simulation studies.In silico pharmacology · 2024Article
- Dual-target ligand discovery for Alzheimer's disease: triphenylphosphoranylidene derivatives as inhibitors of acetylcholinesterase and β-amyloid aggregation.Journal of enzyme inhibition and medicinal chemistry · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
In this study, pharmacophore based 3D QSAR models for human acetylcholinesterase (AChE) inhibitors were generated, with good significance, statistical values (r
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.