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Attribute
Biological AI Models

AlphaProteo

Google DeepMind
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CategoryBiological AI Models
CompanyGoogle DeepMind
PriceResearch Preview
StatusStatus not confirmed
AvailabilityDeepMind research publication and ongoing academic collaboration
Last checked20/09/2026
FeaturesGenerates high-affinity protein binders for diverse target proteins without initial starting fragments, Trained on large macromolecular structure repositories and AlphaFold predictions, Demonstrates up to 300-fold higher binding affinities than prior computational design methods, Experimental success rates ranging from 9% to 88% across diverse target proteins in wet-lab biophysical assays
Entry typeAI Model
Access modeResearch Preview
AI roleDe Novo Binder Design
Input dataNot recorded
Output dataNot recorded
Licence conditionsResearch Publication / DeepMind Research
Commercial eligibilityResearch publication & early academic collaboration
Compute requirementsGPU cluster for generative diffusion sampling and candidate filtering
ValidationNot recorded
TypeGenerative protein binder design model
Intended useNot recorded
CompatibilityNot recorded
ManufacturerGoogle DeepMind
Biological applicationDe novo binder design, targeted cancer therapeutics, viral inhibitors, and biosensors
Research workflowSpecify target protein structure and epitope binding site -> generate de novo binder sequences and 3D backbones
Evidence levelDeepMind Research Whitepaper & arXiv preprint (2024)
Integration evidencehttps://deepmind.google/discover/blog/alphaproteo-generates-novel-proteins-for-biology-and-health-research/
Laboratory handoffDesigned binder sequences are ordered as synthetic DNA for yeast surface display and SPR/BLI affinity validation