Data-Driven Protein Engineering

OpenProtein.AI provides state-of-the-art machine learning models for integration into your protein engineering workflows. Run function prediction, structure prediction, and de novo protein design tools, packaged in our easy-to-use platform. Train custom models or get predictions from our pre-trained foundation models and generative protein language models like AlphaFold2, ESM, and PoET. Our high performance APIs make large scale in silico screening for variant effect prediction and protein library design fast, easy, and cost effective.

Get started with OpenProtein.AI and discover functional protein sequences optimized to your specifications

Enhance directed evolution with zero-shot protein design

Tools

Examples

Design variants using large language models to traverse the protein evolutionary landscape

Tools

Examples

Predict the structure of your designer proteins with deep learning

Tools

Visualize your data to better understand and communicate your results

Tutorial

Examples

Design cost efficient libraries to maximize ROI with limited resourcing

Tutorial

Get embeddings and attention maps for integration with your ML pipeline

Python API

Tutorial

Getting started

Learn more about our tools → With no code For the API

Solutions for your application

Antibodies

Optimize your antibody sequences for key properties

• Binding Affinity
• Activity
• Immunogenicity

Enzymes

Design novel variants with desired functionality

• Catalytic efficiency
• Thermostabilty
• Expression

Structural proteins

Optimize fitness for your structural proteins of interest

• Stability
• Expression