MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins Song Ouyang
–Neural Information Processing Systems
MMSite is a two-stage ("First Align, Then Fuse") Understanding these sites is essential for elucidating enzyme mechanisms, designing inhibitors, and developing novel drugs. MNER, high-quality datasets for multi-modal active sites identification are less abundant.
Neural Information Processing Systems
Oct-10-2025, 02:26:34 GMT
- Country:
- South America > Chile
- Oceania > Australia
- North America
- Montserrat (0.04)
- United States
- Louisiana > Orleans Parish
- New Orleans (0.04)
- California > Santa Clara County
- Palo Alto (0.04)
- Louisiana > Orleans Parish
- Canada > Quebec
- Montreal (0.04)
- Asia
- Singapore (0.04)
- Middle East > Jordan (0.04)
- Indonesia > Bali (0.04)
- Japan > Honshū
- Chūbu > Nagano Prefecture > Nagano (0.04)
- China > Hubei Province
- Wuhan (0.04)
- Genre:
- Research Report
- New Finding (0.93)
- Experimental Study (0.93)
- Research Report
- Industry:
- Technology:
- Information Technology
- Data Science (0.93)
- Artificial Intelligence
- Representation & Reasoning (0.67)
- Natural Language
- Large Language Model (1.00)
- Chatbot (0.68)
- Text Processing (0.67)
- Machine Learning
- Neural Networks > Deep Learning (1.00)
- Performance Analysis > Accuracy (0.93)
- Information Technology