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Predict the whole sequence and 3D structure of masked protein sequences withESM byEvolutionary Scale.

The predictions are computationally-intense, you should have at least 16GB RAM and 4 core CPU

1. Clone this repository:

git clone https://github.com/AstraBert/proteins-w-esm.gitcd proteins-w-esm

2. Rename.env.example to.env and modify it with your Hugging Face access token (read orwrite permissions,fine-grained is nut supported)
3. Launch the application and wait for it to load onhttp://localhost:7860

python3 app.py

1. Pull Docker image

docker pull astrabert/proteinswithesm:latest

2. Run the image and wait for it to load onhttp://localhost:7860:

docker run -p 7860:7860 astrabert/proteinswithesm:latest

Use directly the Hugging Face Space demo that you can findhere.

Click the<> Code green button and then click onCodeSpaces -> Create CodeSpace on 'main'.

You should be redirected to a VSCode-based space connected to the port on which the app runs, directly accessible under the "Ports" section of the VSCode interface.