AlphaFold
Introduced by Jumper et al. in Highly accurate protein structure prediction with AlphaFoldAlphaFold is a deep learning based algorithm for accurate protein structure prediction. AlphaFold incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm.
Description from: Highly accurate protein structure prediction with AlphaFold
Image credit: DeepMind
Source: Highly accurate protein structure prediction with AlphaFold
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Protein Structure Prediction | 11 | 20.00% |
| Protein Folding | 10 | 18.18% |
| Drug Discovery | 8 | 14.55% |
| Protein Design | 5 | 9.09% |
| Language Modelling | 3 | 5.45% |
| Protein Language Model | 3 | 5.45% |
| Molecular Docking | 2 | 3.64% |
| Retrieval | 2 | 3.64% |
| Trajectory Prediction | 1 | 1.82% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
