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De-Risking Biologics: How Apotek Landscape’s AI-Physics Hybrids Solve the Developability Bottleneck
Combining deep learning models with physics-based validation to systematically screen therapeutic protein variants and accelerate developability optimization Key Takeaways Break the “Design-Test-Fail” Loop : Traditional protein optimization is a months-long bottleneck defined by high costs and limited success rates. Apotek Landscape shifts the heavy lifting from the wet lab to our computational platform, identifying low-risk candidates before a single pipette is touched. Iden
Jeff Ma
23 hours ago7 min read
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