Deep learning pipeline for accelerating virtual screening in drug discovery.
Discover how VirtuDockDL enhances drug discovery using deep learning. 🧬 It achieves remarkable accuracy in identifying potential drug candidates. 💊
November 17, 2024
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Discover the newest research about AI innovations in 🧪 Drug Discovery.
Drug repurposing for neglected and zoonotic diseases.
Exploring drug repurposing for neglected diseases can enhance research efficiency and reduce costs. 🌍💊 Read our review of a recent study.
November 15, 2024
Artificial intelligence modeling of biomarker-based physiological age: Impact on phase 1 drug-metabolizing enzyme phenotypes.
AI models assess physiological age using biomarkers, impacting drug metabolism. Key predictors include glycohemoglobin and systolic blood pressure. 🧬💉
November 15, 2024
AI Model Predicts New Dual-Target Medications
AI model predicts dual-target medications, aiding in drug development for more effective treatments. 🧪💊
November 12, 2024
Antibiofilm approaches as a new paradigm for treating infections.
Antibiotic resistance is a pressing issue. 🦠 New antibiofilm strategies may offer hope for treating stubborn infections. 💡
November 9, 2024
Revolutionizing Healthcare with BiomedGPT: A New Era of AI Insights
BiomedGPT combines AI for biomedical images and text, enhancing healthcare insights and decision-making. 🤖🩺
November 8, 2024
Revolutionary AI Tool Enhances Understanding of Protein Interactions in Disease Treatment
New AI tool PIONEER predicts protein interactions, aiding drug development for over 10,500 diseases. 🧬💊
October 30, 2024
Development of Predictive Statistical Model for Gaining Valuable Insights in Pharmaceutical Product Recalls.
AI enhances pharmaceutical safety by predicting product recalls. Key factors include formulation complexity and manufacturing processes. 📊💊
October 24, 2024
Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning.
Cordia myxa shows promise against malaria. 🌿 Key compounds identified may target IL6 and CASP3. 🦠 Further studies needed.
October 21, 2024
FuseLinker: Leveraging LLM’s pre-trained text embeddings and domain knowledge to enhance GNN-based link prediction on biomedical knowledge graphs.
FuseLinker enhances link prediction in biomedical knowledge graphs using advanced embeddings and GNNs. Promising results for drug repurposing! 💊📊
October 19, 2024