Python API documentation#

This section of our site provides documentation supporting our Python client API.

After installing the Python client and setting up your session, get started with our docs to use OpenProtein.AI’s key platform capabilities with Python.

Property Regression Models enable you to train custom models, predict sequence function, and make improved designs in the context of your data.

PoET provides tools using our state-of-the-art generative model for de novo variant effect prediction and controllable protein sequence design.

Foundation Models provide access to high-quality protein sequence embeddings from open source models, and our proprietary models.

Structure Prediction enables you to generate high-quality structure predictions via ESMFold and AlphaFold2.