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AlphaFold
Google DeepMindActiveFeatured

AlphaFold

AlphaFold is an artificial-intelligence system developed by Google DeepMind for predicting the three-dimensional structure of proteins from amino-acid sequences. It is regarded as one of the most important AI breakthroughs in the life sciences: AlphaFold 2 (2020) won the CASP14 competition with accuracy comparable to experimental methods, and the results were published in Nature in July 2021. For protein structure prediction, Demis Hassabis and John Jumper were awarded half of the 2024 Nobel Prize in Chemistry.

As a finished product, AlphaFold is offered in two main forms. The AlphaFold Protein Structure Database (AlphaFold DB), run jointly with EMBL-EBI and launched on July 22, 2021, contains over 200 million predicted protein structures (since 2022) and is freely available under a CC-BY 4.0 license. AlphaFold Server (2024) is a free web tool that lets researchers run AlphaFold 3 predictions for non-commercial use.

AlphaFold 3, announced on May 8, 2024 and co-developed with Isomorphic Labs, extends capabilities beyond single proteins - it predicts the structures of protein complexes with DNA, RNA, ligands and ions, with a substantial accuracy improvement for protein-molecule interactions. The system is widely used in structural biology, bioinformatics, antibody research and drug discovery.

Web appAPIFree
Released 15 Jul 2021Updated 6 Aug 2026Global
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AlphaFold 3
AlphaFold 3
Model profile

Overview

System type
Input
TextStructured data
Output
3D representationStructured dataAnalytical reports

Access & Pricing

PUBLIC
Access channels
Web app
Access through a browser-based web application.
API
Programmatic access via an API interface.
Availability scope
Global

AlphaFold DB is free (CC-BY 4.0). AlphaFold Server is free for non-commercial use. AlphaFold code and weights are subject to license restrictions (including non-commercial terms for AlphaFold 3).

Subscription model
Free
Pricing
Updated 6 Aug 2026Official pricing

Free for research/non-commercial use: AlphaFold DB (CC-BY 4.0) and AlphaFold Server. Commercial use may require separate terms (e.g. via Isomorphic Labs).

Capabilities

1 capability
Task Specialization

Ecosystem

Applications
Protein structure predictionStructural biologyDrug discoveryBiomolecular interaction analysisComputational biology

Security & Enterprise

A public scientific tool and database; no dedicated enterprise offering. User inputs to AlphaFold Server are governed by DeepMind's terms.

Sources

3 sources
AlphaFold - Google DeepMind
Official siteFetched: 6 Aug 2026
AlphaFold Protein Structure Database (EMBL-EBI)
Official siteFetched: 6 Aug 2026
AlphaFold - Wikipedia
articleFetched: 6 Aug 2026