google-deepmind/alphafold

Health v2 · maintenance only

Adoption not part of the score

14811 stars · 2901 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Open-source implementation of the AlphaFold 2 inference pipeline for predicting protein structures from amino acid sequences, including AlphaFold-Multimer for complexes. It is a Python package run via Docker on Linux with NVIDIA GPU support.

Use cases

• predict the 3D structure of a protein from its sequence
• model protein-protein complexes with AlphaFold-Multimer
• run structure predictions on a GPU machine with genetic databases
• reproduce CASP14/CASP15 baseline predictions
• generate PDB structure files for downstream biology research

When to choose

• you need high-accuracy protein structure or complex predictions on Linux with an NVIDIA GPU
• you want the official DeepMind implementation rather than community rewrites
• you can afford large genetic database downloads (~3 TB disk)

When to avoid

• you are on Windows or macOS, which are unsupported
• you lack a modern NVIDIA GPU or the required disk space
• you need training/fine-tuning of the model, since only inference is provided
• you want a lightweight tool without heavy database dependencies

Facets

library · maturity maintenance

machine-learning deep-learning llm-inference bioinformatics deep-learning machine-learning python protein-structure-prediction alphafold computational-biology structural-biology inference-pipeline linux docker gpu

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For agents

markdown · JSON · MCP: product_card(name="google-deepmind/alphafold")