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
Antibody hit selection from NGS data	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
Protein-protein binder design with RFdiffusion	Query design, RFdiffusion, BoltzGen, ProteinMPNN, Boltz-2
Nanobody binder design with BoltzGen	Query design, BoltzGen, ProteinMPNN, Boltz-2

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
Inverse folding with PoET-2	PoET-2
Visualizing antibody embeddings	Embeddings
Protein-protein binder design with RFdiffusion	Query design, RFdiffusion, BoltzGen, ProteinMPNN, Boltz-2
Nanobody binder design with BoltzGen	Query design, BoltzGen, ProteinMPNN, Boltz-2
Quantitative decision making for library design	Optimization and Prediction Models
Aligning variable length sequences using Python	Multiple sequence alignment, MAFFT

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