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AlphaProteo - Biological AI Models | aibioatlas | aibioatlas

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AlphaProteo Scientific Architecture · Google DeepMind

Biological AI Models · Protein Design

AlphaProteo

AI system for generating novel, high-affinity protein binders directly from target structures

AlphaProteo is Google DeepMind's generative protein design system that generates novel, high-affinity binders for diverse target proteins, including viral surface proteins (SARS-CoV-2 spike, BHRF1) and cancer-relevant receptors (VEGF-A, IL-17A, TrkA).

Generates high-affinity protein binders for diverse target proteins without initial starting fragmentsTrained on large macromolecular structure repositories and AlphaFold predictionsDemonstrates up to 300-fold higher binding affinities than prior computational design methodsExperimental success rates ranging from 9% to 88% across diverse target proteins in wet-lab biophysical assays

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Aperçu

Informations confrontées à une source officielle ; pas un banc d’essai expérimental. Source · Dernière vérification : 20/09/2026, 18:50:00 UTC

Fonctionnalités clés

Generates 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

Interactive 3D Illustration

Biological Architecture (Stylized Ribbon)

Default view is a stylized demonstration ribbon. Enter any 4-letter RCSB PDB accession code above to stream real atomic coordinates.

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Illustrative Confidence Gradient:

>90 High / Low B 70-90 Confident 50-70 Low <50 Very low / High B

Academic Context & Research Evidence

Biological & Workflow Fit

Biological Application: De novo binder design, targeted cancer therapeutics, viral inhibitors, and biosensors
Research Workflow: Specify target protein structure and epitope binding site -> generate de novo binder sequences and 3D backbones
Compute & Hardware: GPU cluster for generative diffusion sampling and candidate filtering
Licensing & Academic Use: Research Publication / DeepMind Research
Documented Evidence: View validation publication / source ↗

Cite this Tool

Use this citation format when referencing AlphaProteo in scientific publications and benchmark papers.

@software{alphaproteo_2026,
  title = {{AlphaProteo}},
  author = {{Google DeepMind}},
  year = {2026},
  url = {https://deepmind.google/discover/blog/alphaproteo-generates-novel-proteins-for-biology-and-health-research/},
  note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}

Peer-Reviewed Literature & Preprints

Live scientific citations queried from Europe PMC and PubMed for AlphaProteo.

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Informations techniques et produit

Missing values mean the catalog has no recorded information. They do not mean a feature is absent.

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

AvailabilityDeepMind research publication and ongoing academic collaboration

Price / accessResearch Preview

Research fit & compatibility

No software–hardware integration has been verified for this entry yet. Explore documented research workflows.

Gallery & resources

AlphaProteo Scientific Architecture · Credit: Google DeepMind · Open original ↗

Research and editorial use Source & attribution ↗ License ↗

Resource: AlphaProteo Research Announcement ↗ · Google DeepMind

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Foire aux questions

Où ce produit est-il disponible ?

DeepMind research publication and ongoing academic collaboration

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