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AlphaFold (2026)

Official product of Google

Expert Reviewed
by Albert SchaperLast reviewed: Sep 21, 2026

Predicting molecular structures and interactions to unlock the mysteries of life.

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3 ratings
5.0
Favorites
70
Pricing
Free
Platform
Web App / API
Best for
Scientists / Healthcare Providers

Overview

AlphaFold is an AI system developed by Google DeepMind that predicts three-dimensional structures of proteins and diverse biomolecules—including ligands, nucleic acids, ions, and post-translational modifications—and their interactions from sequences with atomic accuracy. Through partnership with EMBL-EBI, AlphaFold powers an open-access Protein Structure...

AlphaFold Scientific Research showing Scientific Research - Predicting molecular structures and interactions to unlock the my

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Key Features

Automation-ready endpoints

Official API docs and clear auth flows—ideal for custom automations.

Multi-language SDK support

Type-safe SDKs provide autocomplete and compile-time checks for faster development.

Video Showcase

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5.0 / 5based on 3 ratings

About AlphaFold

“Predicting molecular structures and interactions to unlock the mysteries of life.”

AlphaFold is a scientific research tool developed by DeepMind (GB) designed for scientists, healthcare providers and educators. AlphaFold is a Scientific Research and 3D Generation solution for scientists, healthcare providers, students, and educators that predicts 3D structures of proteins and biomolecules with atomic accuracy from sequences, powering an open database of 200M+ structures. Pricing: Free. With over 9K monthly visits, AlphaFold has established a significant user base. AlphaFold follows a free pricing model, with plans free of charge. It is available on Web App and API. Developer integration is supported through Python SDKs. AlphaFold integrates with DeepMind AlphaFold. It competes in the same space as Boltz-1, RoseTTAFold and OpenFold. Explore more scientific research tools or browse all categories.
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AlphaFold Snapshot

Key facts we track so you can judge fit before visiting the provider.

Primary category
Scientific Research
Best fit
Scientists, Healthcare Providers, Educators +1 more
Platforms
Web App, API
Pricing signal
Free
Provider context
Google - GB
Known integrations
DeepMind AlphaFold
Developer access
API documentation, Python
Data handling
Global hosting, Privacy policy linked

Before you choose AlphaFold

  • Confirm AlphaFold's current limits, renewal terms, and seat pricing on the official site.
  • Review privacy, retention, and data-processing terms before using sensitive data.
  • Test the integrations or API path against one real workflow before rollout.
  • Make sure the supported platform matches where your team actually works.

Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.

How AlphaFold Works

Understanding the core functionality and approach of AlphaFold.

AlphaFold shipped its latest release on September 21, 2026, delivering new capabilities for Scientists. The roadmap clearly tracks market needs. AlphaFold was last updated on September 21, 2026, reflecting active development.

Key Features

Explore what makes AlphaFold stand out.

Automation-ready endpoints

Official API docs and clear auth flows—ideal for custom automations.

Multi-language SDK support

Type-safe SDKs provide autocomplete and compile-time checks for faster development.

Use Cases

Discover how different audiences leverage AlphaFold.

Healthcare Providers

Launch faster as a startup

Solo founders and small teams get enterprise-grade capabilities without enterprise pricing. Integrations with DeepMind AlphaFold keep AlphaFold connected to your workflow.

Learn more: AI Tools for Educators

FAQ about AlphaFold

What is AlphaFold and what does it do?

AlphaFold is Predicting molecular structures and interactions to unlock the mysteries of life.. AlphaFold is an AI system developed by Google DeepMind that predicts three-dimensional structures of proteins and diverse biomolecules—including ligands, nucleic acids, ions, and post-translational modifications—and their interactions from sequences with atomic accuracy. Through partnership with EMBL-EBI, AlphaFold powers an open-access Protein Structure Database containing over 200 million predicted structures. The latest version, AlphaFold 3, advances biological and medical research globally by making these insights freely available via AlphaFold Server. Available on Web App, API, AlphaFold is designed to enhance productivity and deliver professional-grade scientific research capabilities.

How much does AlphaFold cost?

AlphaFold offers Free pricing options. All AlphaFold data and predictions are freely available for academic and commercial use under Creative Commons Attribution 4.0 license. No paid tiers or pricing models. You can start with a free tier to test the platform before committing to a paid plan. For the most current pricing details and plan comparisons, visit the official AlphaFold pricing page or contact their sales team for custom enterprise quotes. See also Free vs Paid AI Tools for guidance on choosing the right plan.

Is AlphaFold secure and compliant with data privacy regulations?

AlphaFold takes data privacy seriously and implements industry-standard security measures. Data is hosted in Global, providing transparency about where your information resides. For comprehensive details about data handling, encryption, and privacy practices, review their official privacy policy. On-premise deployment options are available for organizations with strict data residency requirements. Security and compliance are continuously updated to meet evolving industry standards.
What platforms does AlphaFold support?
AlphaFold is available on Web App, API. The web application provides full functionality directly in your browser without requiring downloads. API access allows developers to integrate AlphaFold capabilities directly into their own applications and workflows. This multi-platform approach ensures you can use AlphaFold wherever and however you work best.
How can I try AlphaFold before purchasing?
A free plan is available with core functionality, perfect for individual users or small projects. Testing the platform before committing ensures it meets your specific requirements and integrates smoothly with your existing workflows. Support for English makes it accessible to global users.
What file formats does AlphaFold support?
AlphaFold accepts Protein sequence data in FASTA format as input formats, making it compatible with your existing files and workflows. Output is delivered in Predicted protein structure in PDB format, ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines.
Who develops and maintains AlphaFold?
AlphaFold is developed and maintained by DeepMind, based in GB. Most recently updated in September 2026, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures AlphaFold stays competitive and aligned with industry best practices.
How do I get access to AlphaFold?
AlphaFold is freely available to everyone without registration requirements. You can start using the platform immediately without going through lengthy approval processes.
How is usage measured and billed in AlphaFold?
AlphaFold uses API Calls as billing metrics. API-based billing tracks the number of requests made to the service, providing predictable costs for developers. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does AlphaFold offer?
AlphaFold supports Cloud, OnPremise deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. On-premise installations give organizations complete control over data residency and security policies. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.

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How to Evaluate AlphaFold

Compare AlphaFold with Boltz-1, RoseTTAFold, OpenFold and other alternatives before you decide. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.

  1. Step 1Test AlphaFold with one real workflow before moving important work into it.
  2. Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
  3. Step 3Verify the integration path with your existing stack before you commit.
  4. Step 4Review privacy, retention, and compliance terms before using sensitive data.

Use the video walkthrough to check whether the interface matches the claims. For developer teams, inspect the Python SDK. Review the API documentation for auth, rate limits, errors, and export behavior. For broader context, browse more scientific research tools for scientists, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.

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