Optimization and Prediction Models Overview

OpenProtein.AI’s Optimization and Prediction Models (OP Models) are a set of machine learning tools designed to analyze and optimize sequences that have measured properties. If you don’t have experimental data, use PoET to generate sequences. If you do have experimental data, create a project for each specific protein sequence you’re interested in exploring. OP Models allows you to:

You can create unlimited projects to house different protein sequences.

To create a project, you will need a dataset formatted as a CSV table with columns containing the full sequence of each variant and their measurement values. Missing measurements are acceptable.

On the OpenProtein.AI home page, select New Project.

OP models tool

Name your project, then select Create.

Congratulations! You’re ready to upload your dataset.