DeepDegradome: A structure-aware deep learning framework for PROTAC and ligand generation against protein targets.
Revolutionary AI in Drug Design: DeepDegradome Enhances PROTAC Development with Higher Binding Affinity! ๐๐ฌ
March 13, 2026
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Discover the newest research about AI innovations in ๐งช Drug Discovery.
MML-DTI: Multimanifold Learning with Hyperbolic Graph Neural Networks for Enhanced Drug-Target Interaction Prediction.
Revolutionary DTI prediction using hyperbolic geometry! ๐ Enhanced accuracy through multimanifold learning and HGNN integration. ๐ฌ
March 10, 2026
Advances in Fragment-based Drug Design: Lessons and Innovations from the Post-COVID Drug Discovery Landscape.
Fragment-based drug design revolutionizes drug discovery, enhancing speed and efficiency post-COVID. Key insights from recent research. ๐๐ฌ
January 28, 2026
Artificial intelligence agents in cancer research and oncology.
AI agents revolutionizing cancer research: optimizing drug design, proposing therapies, and tackling complex challenges. ๐ค๐
January 13, 2026
A Multimodal Drug-Target Affinity Prediction Framework with Pretrained Models and Hierarchical Graph Transformer.
Revolutionary DTA Prediction: PMHGT-DTA Framework Enhances Drug Discovery with 3D Graphs and Cross-Attention! ๐๐ฌ
January 1, 2026
AI Enhances Monoclonal Antibody Development for Viral Infections
AI accelerates monoclonal antibody design, aiding in the fight against viral infections like RSV and avian influenza. ๐ฆ ๐
December 21, 2025
Fungal virulence factors datasets for inflammatory bowel disease-specific antifungal drug discovery.
Fungal virulence factors dataset aids IBD antifungal drug discovery. 18,072 VFs identified; 390 potential VFs predicted. ๐ฆ ๐
November 18, 2025
Technological advancements in antibody-based therapeutics for treatment of diseases.
Technological advancements in antibody therapeutics: 144 FDA-approved drugs, $267B sales, and AI-driven discoveries. ๐๐
November 13, 2025
Children’s drug research and development incentives and market pricing optimization based on medical imaging.
Children’s drug development: 32.7% tumor reduction via imaging data. Optimized pricing ensures accessibility and R&D efficiency. ๐๐
November 7, 2025
Delineating SARS-CoV-2 spike protein and antibodies interaction interfaces via siamese neural networks: A geometric and image-based analysis.
Siamese Neural Networks enhance SARS-CoV-2 antibody interaction analysis, achieving 90% accuracy in predicting stable complexes. ๐ค๐ฌ
November 5, 2025