Antibody Optimization

Antibody Optimization

Products & Services

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We use our wet-lab and dry-lab integrated platforms to optimize antibodies across multiple properties (affinity, developability, specificity, cross-reactivity) simultaneously, all in the span of a few months. We can start from a customer parental antibody, or use our ML-derived humanoid phage library or de novo design capabilities to discover a starting binder. With our combined discovery and optimization package, we can go from target identification to a lead optimized candidate in approximately 6 months.
A-Alpha Bio117A-Alpha Bio is a biotechnology company harnessing synthetic biology and machine learning to measure, predict, and engineer protein-protein interactions. With over 1.8 Billion protein affinities measured to date, we leverage our leading experimental data to serve customers in 2 main ways: 1) Data Generation: We provide the industry standard protein-protein affinity data for AI-enabled biologics design. Leading teams use this data to train, fine-tune, benchmark, and validate their models. 2) Antibody Optimization: We use wet-lab and dry-lab integration to take a parental antibody and optimize it across multiple parameters simultaneously (affinity, developability, specificity, and cross-reactivity), all within 3 months.

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