ProteusAI, a user-friendly and open-source ML platform, streamlines protein engineering and design tasks.
ProteusAI offers modules to support researchers in various stages of the design-build-test-learn (DBTL) cycle,
including protein discovery, structure-based design, zero-shot predictions, and ML-guided directed evolution (MLDE).
Our benchmarking results demonstrate ProteusAI’s efficiency in improving proteins and enzymes within a few DBTL-cycle
iterations. ProteusAI democratizes access to ML-guided protein engineering and is freely available for academic and
commercial use.
You can upload different data types to get started with ProteusAI. Click on the other module tabs to learn about their
functionality and the expected data types.
Upload experimental data (CSV or Excel file) or a single protein (FASTA)