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Built on a dataset of ~10 billion sequences and continuously strengthened by ProteoGenix’s own complex antibody projects, our proprietary AI helps you make better decisions from the earliest design stage. By combining large-scale sequence analysis with real-world project learnings, it supports the selection of human frameworks and the prioritization of variants with stronger developability profiles, so you can move forward with an optimized antibody that preserves binding and function while reducing downstream risk.
Our bioinformatics experts review every AI output and translate it into clear, experience-driven recommendations before you move into production. They check the proposed frameworks and mutations, weigh trade-offs between “humanness,” liability risk and sequence integrity. The result is not just a list of candidates, but a practical decision package that helps you choose the best formats, backed by both data and expert judgment.
We stress-test your antibody variants under manufacturing, storage, and handling conditions to spot early weaknesses that could derail clinical development. We deliver a clear actionable report based on a combination of stress studies with analytical assays for integrity, binding, aggregation, affinity et cetera… Then, our expert recommendations help you select the most robust candidates and choose your next step.