Computational lab
With our computational lab, users can explore, create, and visualize on top of our curated datasets and models. The lab provides a coding environment – Jupyter Notebook – with direct access to previously organized protein datasets, the feature store, and pre-trained models, as well as the necessary processing capacity (e.g., T4 GPUs). Moreover, our lib310 Python library packages all the data science and visualization tools a protein design process might require.