https://github.com/dauparas/ProteinMPNN
Code for the ProteinMPNN paper
https://github.com/dauparas/ProteinMPNN
Last synced: about 1 year ago
JSON representation
Code for the ProteinMPNN paper
- Host: GitHub
- URL: https://github.com/dauparas/ProteinMPNN
- Owner: dauparas
- License: mit
- Created: 2022-05-26T02:38:14.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-04-17T21:40:55.000Z (about 2 years ago)
- Last Synced: 2024-04-18T05:39:27.036Z (about 2 years ago)
- Language: Jupyter Notebook
- Size: 117 MB
- Stars: 793
- Watchers: 19
- Forks: 234
- Open Issues: 46
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-ai-for-science - ProteinMPNN - Deep learning-based protein sequence design (inverse folding) from backbone structures, achieving 52.4% sequence recovery vs 32.9% for Rosetta, core tool in modern protein design pipelines (Baker Lab, Science 2022) (🔬 Domain-Specific Applications / 🧬 Biology & Medicine)
- awesome-protein-design-software - ProteinMPNN - [<img src="https://colab.research.google.com/assets/colab-badge.svg">](https://colab.research.google.com/github/sokrypton/ColabDesign/blob/v1.1.0/mpnn/examples/proteinmpnn_in_jax.ipynb) - [paper](https://www.biorxiv.org/content/10.1101/2022.06.03.494563v1) (Design)
- StarryDivineSky - dauparas/ProteinMPNN
- awesome-computational-biology - ProteinMPNN