Latest Research in Parkinson's Disease Mechanisms and Treatments

Top Research Topics in Parkinson's Disease Mechanisms and Treatments

• Computational Drug Discovery Methods — 7 papers
• Machine Learning — 2 papers
• Parkinson's Disease Mechanisms and Treatments — 2 papers
• Metabolomics and Mass Spectrometry Studies — 1 papers
• Biomolecules — 1 papers
• Quantitative Methods — 1 papers
• Histone Deacetylase Inhibitors Research — 1 papers
• Machine Learning in Healthcare — 1 papers

Highest-Cited Papers

1. Measuring AI Progress in Drug Discovery: A Reproducible Leaderboard for the Tox21 Challenge (1 citations)
2. Contrastive Learning for Metabolite-Aware Oral Drug Design
3. Joint Learning of Drug–Drug Combination and Drug–Drug Interaction via Coupled Tensor–Tensor Factorization with Side Information
4. Artificial intelligence integration into biological sciences: Applications, opportunities and challenges
5. Exploring Optimal Parameters for Ligand-Based Virtual Screening in Early Drug Discovery
6. ADMET-EvO: a self-evolving scientific agent for sustained research across heterogeneous tasks
7. An AI-Assisted Workflow for Rapid Prioritization of FDA-Approved Drugs as HDAC3 Inhibitor Candidates for Drug Repurposing
8. Precision Drug Discovery in the Era of Artificial Intelligence: A Critical Review
9. An Explainable Machine Learning-Based QSAR Framework for Predicting Thrombin Inhibitory Activity
10. The Accuracy Paradox: Empirical Diagnostic of Default Decision Thresholds in Multi-Label Enzyme Commission Prediction [With Code]
11. DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing
12. ARTIFICIAL INTELLIGENCE IN DRUG REPURPOSING FOR PARKINSON'S DISEASES: A COMPREHENSIVE REVIEW
13. ARTIFICIAL INTELLIGENCE IN DRUG REPURPOSING FOR PARKINSON'S DISEASES: A COMPREHENSIVE REVIEW
14. UIDDA: a unified-input model-classifier combination framework for drug-disease association prediction
15. multiGMF: A multi-similarity geometric matrix factorization for identifying drug-associated indications
16. End-to-End Intelligent Drug Discovery via a Scalable and Explainable Graph-Transformer Framework