Protein Structure Prediction
Google DeepMind › Research Areas › protein-structure-prediction
Record Metadata
| Record Key | protein-structure-prediction |
| Entity | Google DeepMind |
| Collection | Research Areas(4 records total) |
| Schema | Major research initiatives and focus areas. |
| YAML File | packages/kb/data/things/A4XoubikkQ.yaml |
Fields
| Name | Protein Structure Prediction |
| Description | Deep learning for predicting 3D protein structures from amino acid sequences |
| Started | Jan 2016 |
| Key Publication | nature.com↗ |
| Notes | AlphaFold 2 solved the 50-year protein folding problem; Demis Hassabis received 2024 Nobel Prize in Chemistry |
Other Records in Research Areas (3)
| Key | Name | Description | Started |
|---|
| game-playing-ai | Game-Playing AI | Reinforcement learning for complex games including Go, chess, StarCraft, and Diplomacy | Jan 2013 |
| neuroscience-inspired-ai | Neuroscience-Inspired AI | Using insights from neuroscience to improve AI architectures and learning algorithms | Sep 2010 |
| ai-safety | AI Safety | Responsible AI development including alignment, robustness, and societal impact | Jan 2017 |