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Absci designs biologic therapeutics that meet multiple design specifications simultaneously, such as binding affinity, developability, and immunogenicity, using high-throughput data.
This technical poster describes our process for generating the right experimental data, maximizing the information value of each data point with AI-guided approaches, modeling the data with proprietary language-based algorithms, and designing unique biologic variants that meet complex multi-parametric specifications, all validated by expert experimental teams.