DeepMind AlphaFold
Open Source
Open access protein database
Highly accurate predictions
Essential for life sciences
Free for commercial use
Open-source code available
Predict protein 3D structures from amino acid sequences with AI.
Last updated: Apr 15, 2026
FREE
alphafold.ebi.ac.uk
Quick Answer
DeepMind AlphaFold is an AI system and database for predicting and accessing protein 3D structures. It provides open access to over 200 million highly accurate protein structure predictions, accelerating research in biology and drug discovery. Best for researchers and scientists needing protein structural data. Freely available for academic and commercial use.
About DeepMind AlphaFold
DeepMind AlphaFold is an AI system that predicts protein 3D structures from amino acid sequences with high accuracy. Developed by Google DeepMind and EMBL-EBI, the AlphaFold Protein Structure Database provides open access to over 200 million protein structure predictions for scientific research. It's freely available for academic and commercial use.
What Makes It Unique
AlphaFold is a state-of-the-art AI system that computationally predicts protein structures with unprecedented accuracy, achieving results competitive with experimental methods, and provides open access to over 200 million predictions.
Use Cases & Target Users
Best For
Accelerating biological research
Understanding protein function and disease mechanisms
Drug design and development
Computational biology studies
Company Size
SMALL
MEDIUM
ENTERPRISE
Fit Score
Complexity
INTERMEDIATE
Target Team Size
INDIVIDUAL
SMALL_TEAM
LARGE_TEAM
Target Skill Level
INTERMEDIATE
EXPERT
Key Features
Protein structure prediction from amino acid sequence
Searchable database of over 200 million protein structures
Open access to human proteome and 47 key organisms
Downloadable protein structure data (individual and bulk)
Predicted Aligned Error (PAE) visualization and download
Community dataset contributions (e.g., AllTheBacteria, BFVD)
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Apache-2.0
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
HYBRID
Pros
- +Provides highly accurate protein structure predictions
- +Offers open access to a vast database of over 200 million structures
- +Freely available for both academic and commercial use under CC-BY-4.0 license
- +Includes open-source code for generating custom predictions
- +Developed by Google DeepMind and EMBL-EBI, ensuring scientific rigor
Limitations
- -Database may not contain all desired protein structures, requiring custom prediction
- -PAE files require programmatic analysis (Python) for raw data
- -Search queries have specific requirements (e.g., min 20 amino acids for sequence search)
- -The system still has some limitations in prediction accuracy for certain cases
Powered By
Base Models
AlphaFold 2
Uses Models
AlphaFoldAlphaFold 2
Decision Intelligence
Best For
Accelerating biological research
Understanding protein function and disease mechanisms
Drug design and development
Computational biology studies
Not Ideal For
Predicting structures of non-protein molecules
Real-time experimental protein structure determination
Users without basic understanding of bioinformatics concepts
Confidential protein sequence prediction without using the open-source code locally
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use6/10
Output Quality9/10
Value for Money10/10
Customization7/10
Support8/10
Integration6/10
Task Scores
Data Extraction
8
Cross Reference
7
Knowledge Synthesis
7
Hypothesis Generation
3
Methodology Guidance
3
Literature Search
2
Citation Management
2
Paper Summarization
2
Trust Score
45/100
Limited Data
Based on 5 verified signals
Trust Signals
Verified CompanyGoogle DeepMind and EMBL-EBI
User Base1M-10M
FundingDeepMind raised $64.6 million in venture capital; Google DeepMind had a $1.53 billion funding round.
Team Size5000+
Data Residency
Switching & Migration
Migration Difficulty
Easy to Switch
Data portable as:
JSON
Email support
Quick Stats
CategoryResearch
PlatformsWEB, API, CLI
Integrations3+
Views1
LaunchedJan 2018
Setup Time5 min
AddedMar 2026
Company & Links