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
Design variants using large language models to traverse the protein evolutionary landscape
Predict the structure of your designer proteins with deep learning
Visualize your data to better understand and communicate your results
Design cost efficient libraries to maximize ROI with limited resourcing
Get embeddings and attention maps for integration with your ML pipeline
Getting started
Learn more about our tools → With no code With 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