Solutions for your application#

Browse our use case examples to apply OpenProtein.AI’s tools towards specific engineering goals.

Web App#

Walkthroughs

Tools covered

Lead optimization of monoclonal antibody to meet target product profile

Optimization and Prediction Models

Finding mutational hotspots and designing one-shot variant libraries

PoET, Structure Prediction

Designing libraries of multimeric proteins

Optimization and Prediction Models

Python API#

Walkthroughs

Tools covered

Predicting the fitness of isomerases without experimental data

PoET

Understanding the impact of substitution and deletions on aliphatic amidase using different large language models

PoET

Screening insertion locations with PoET

PoET

Visualizing antibody embeddings

Embeddings

Quantitative decision making for library design

Optimization and Prediction Models

Aligning variable length sequences using Python

Multiple sequence alignment, MAFFT

Learn how to make your own designs