ArticleJournal of pharmaceutical analysis2024
Deep learning-based drug screening for the discovery of potential therapeutic agents for Alzheimer's disease.
Article in Journal of pharmaceutical analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Emerging natural product development strategies drive the therapeutic potential exploration and clinical translation of hydroxysafflor yellow A.Journal of pharmaceutical analysis · 2026Review
- A unified multi-scale deep learning framework for molecular property prediction that bridges molecular structures and fingerprinting.Communications chemistry · 2026Article
- A comprehensive review of intelligent question-answering systems in traditional Chinese medicine based on LLMs.Journal of pharmaceutical analysis · 2026Review
- Clarifying the active ingredients & pharmacological mechanisms of traditional Chinese medicines via modern pharmaceutical analysis techniques.Journal of pharmaceutical analysis · 2026Review
- Discovery of TDP-43 aggregation inhibitorsbioRxiv : the preprint server for biology · 2026Article
- Rethinking Nature's Pharmacy: AI Era and Natural Product Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Real-time visualization of drug-target interactions in native subcellular microenvironments for lysosome-targeted drug discovery.Journal of pharmaceutical analysis · 2026Article
- Traditional Chinese Medicine Modernization in Diagnosis and Treatment: Utilizing Artificial Intelligence and Nanotechnology.MedComm · 2026Review
- Immune Gene INHBA is Associated With Osteoarthritic Cartilage Damage and May Mediate the Temporal Activation of the TGF-β/p38 MAPK Pathway: Integrating Multiomics Machine Learning and Experimental Validation.Mediators of inflammation · 2026Article
- Fingerprint-enhanced hierarchical molecular graph neural networks for property prediction.Journal of pharmaceutical analysis · 2025Article
- Recent Advances in the Application of Artificial Intelligence in Alzheimer's Disease.Current Alzheimer research · 2025Review
- Glutamate: Molecular Mechanisms and Signaling Pathway in Alzheimer's Disease, a Potential Therapeutic Target.Molecules (Basel, Switzerland) · 2024Review
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Authors and funding
6 authors.
Funding
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Abstract
Alzheimer's disease (AD) is gradually increasing in prevalence and the complexity of its pathogenesis has led to a lengthy process of developing therapeutic drugs with limited success. Faced with this challenge, we proposed using a state-of-the-art drug screening algorithm to identify potential therapeutic compounds for AD from traditional Chinese medicine formulas with strong empirical support. We developed four deep neural network (DNN) models for AD drugs screening at the disease and target levels. The AD model was trained with compounds labeled for AD activity to predict active compounds at the disease level, while the acetylcholinesterase (AChE), monoamine oxidase-A (MAO-A), and 5-hydroxytryptamine 6 (5-HT
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