A-Alpha Bio is an AI Protein & Enzyme Design company founded in 2017 and based in Seattle, United States.
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AlphaSeq is A-Alpha Bio's experimental platform that repurposes yeast mating to measure millions of protein-protein binding affinities in a single experiment. Researchers and drug developers use it to characterize antibodies, engineered proteins, and molecular glues at a scale roughly four orders of magnitude beyond conventional biophysical methods. The platform's large, consistent datasets are what differentiate A-Alpha Bio's models from those trained on sparse literature data.
AlphaBind is A-Alpha Bio's computational platform, a domain-specific deep-learning model trained on the protein-protein interaction data generated by AlphaSeq. It predicts how strongly proteins bind to one another and supports the design of antibodies and other therapeutic proteins. Biopharma partners use it to prioritize candidates before lab work, shortening optimization cycles for dual-specific and molecular glue programs.
Atlas is A-Alpha Bio's web-based data ecosystem launched to supply AI-ready protein interaction data to researchers and model builders. Users can browse a catalog of licensable Data Blocks, commission a Custom Data Block tailored to their target, or join the Atlas Consortium, which pools standardized antibody-antigen measurements across member companies. It addresses the experimental data bottleneck that limits AI-driven protein engineering.
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