Tag: generative models
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The generative engine for protein design — backbone diffusion + inverse folding + a self-consistency filter that only checks folding, not function
Evidence-first notes on bioscience and deep tech, at the edge of the lab and the market. Information only — not investment advice, not medical advice. Every in-silico metric (scRMSD, pLDDT, sequence recovery, designability) is separated from wet-lab validation (X-ray/cryo-EM, binding, activity), and any vendor/lab claim is attributed. Benchmark or preprint SOTA is not read as…
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Structure-based and generative drug design in the clinic: elegant molecules, but whose efficacy?
Evidence-first notes on bioscience and deep tech, at the edge of the lab and the market. Information only — not investment advice. The 30-second version What. Structure-based and generative design engines (Insilico’s Chemistry42, Isomorphic’s IsoDDE, Schrödinger’s FEP+, Relay’s motion-based platform) have demonstrably done one thing: designed and optimized molecules well enough to enter the clinic,…
Uthando Nethemba 