Unfold
A blog by Cradle
Case studies

Using AI to produce vaccine adjuvants without cutting down rainforest

Engineering therapeutic peptides with 50% success rate under tight multi-property constraints, 5× faster than prior efforts

Improving Staphylococcus aureus vaccine thermostability by 2.5 °C in a single round, 7× faster than rational design

Using AI to produce vaccine adjuvants without cutting down rainforest

Engineering therapeutic peptides with 50% success rate under tight multi-property constraints, 5× faster than prior efforts

Improving Staphylococcus aureus vaccine thermostability by 2.5 °C in a single round, 7× faster than rational design

Rescuing a stalled IgG campaign: 10 candidates meeting potency and developability criteria in 3 rounds
Introducing an ‘ML maturity ladder’ for biologics discovery and development
Many organizations confine machine learning in molecular discovery and design to isolated proof-of-concept projects. We propose a 5-level maturity ladder to illustrate how teams advance towards autonomous systems that learn from every experiment and guide discovery across entire pipelines.
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