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

via our web app

via our Python API