Technology thesis · Biotechnology & Health
high conviction growthProtein engineering
Generative protein design has crossed into the clinic: AI-engineered antibody GB-0895 reached Phase 3 in late 2025 and RFdiffusion3 made atom-level de novo design routine.
Position maintained continuously · last reviewed Jun 24, 2026
The thesis
Core thesis
David Baker (Nobel 2024, Institute for Protein Design) pioneered de novo protein design. AlphaFold predicted structures; Baker's work creates new structures from scratch. Applications: novel enzymes for manufacturing, protein therapeutics, biosensors, and materials. The dual-use concern: the same tools that design beneficial proteins can theoretically design harmful ones.
State of the art (2026)
Protein engineering in 2026 is defined by three converging fronts. Generation: David Baker’s Institute for Protein Design released RFdiffusion3 in December 2025 – an all-atom diffusion model that designs binders to DNA, ligands and enzyme active sites, alongside EvolutionaryScale’s ESM3 and DeepMind’s AlphaFold 3 for structure and interactions. Clinic: Generate Biomedicines began global Phase 3 trials of GB-0895, an AI-engineered long-acting anti-TSLP antibody for severe asthma, in late 2025 – among the first generative-AI molecules to reach Phase 3. Industry: Isomorphic Labs runs multi-billion-dollar pharma deals, while Codexis, Arzeda and Novonesis push designed enzymes into manufacturing. The open question is whether fully de novo proteins, not just optimised antibodies, deliver clinical efficacy.
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Signal stack
Evidence stacked leading → lagging
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Landscape map
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Catalyst calendar
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Watchlists
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Thesis changelog
When our view changed, and why
Change our mind
3 disconfirming conditions
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The full signal stack, technology-native KPIs tracked over time, the landscape of who depends on whom, the dated catalyst calendar, decision frameworks for every desk, live watchlists and the changelog of every time our call on Protein engineering has changed — all live inside CanaryIQ.