API reference # Session Management # The entrypoint to our platform which requires an authenticated session.

This section of our site provides documentation supporting our REST API. Here, you can find an overview of our workflow offerings and information needed to get started with our Property …

Executing workflows is achieved with the OpenProtein APISession object (see openprotein.APISession ()) session= openprotein.connect (username="username", …

The Design API provided by OpenProtein.ai builds on top of our predictive models to empower you to achieve your protein design goals easily. Currently, we support the following design …

Getting started with OpenProtein.AI’s API # Step 1: Request early access Step 2: Install our Python client

class openprotein.OpenProtein(username=None, password=None, backend='https://api.openprotein.ai/api/', timeout=180) [source] # The base class for accessing …

A reference identifier to the MSA associated to this protein. at(positions) [source] # Return a new Protein object containing residues at given 1-indexed positions. mask_sequence() [source] # …

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 …

A reference identifier to the MSA associated to this protein. property templates: Sequence[Protein | Complex | Template] # A list of templates for guiding the structure prediction of this protein. …

Python API Documentation # The OpenProtein Python SDK provides a pythonic interface to the OpenProtein.AI platform for protein engineering. This client library enables you to leverage …