A top-20 pharma optimized three stalled late-stage peptide programs with Cradle in one round each.
Three peptide programs needed simultaneous optimization of potency, specificity, expression and thermostability, and earlier efforts had failed. Cradle ran one round of 96 candidates per program using multi-property constraint satisfaction. The page reports at least 50% of candidates met all four constraints versus typically under 20% historically, in 1 round versus an estimated 5, about 5x faster.
Cradle is an AI protein engineering software company whose platform designs and optimizes proteins, antibodies, enzymes and peptides for biopharma and industry.
This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.
Published by Cradle on its own site — read the original case study on cradle.bio ↗
Related use cases
- 01The Keasling Lab used Cradle to re-engineer plant enzymes for fermentation-based QS-21 vaccine adjuvant production.
- 02A top-20 pharma improved the thermostability of a S. aureus vaccine antigen in a single Cradle round.
- 03A top-50 pharma delivered 10 IgG candidates meeting potency and developability criteria after earlier campaigns failed.
- 04A biomanufacturing company nearly tripled P450 enzyme activity in three Cradle rounds after plateauing.
- 05Novo Nordisk Transforms Clinical Trials With AI
- 06How Regeneron is discovering new treatments with AI