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AlphaFold Protein Structure Database
Categories: Research, Data Analysis |
Pricing: Free |
Official Website ↗
AlphaFold DB provides open access to over 200 million AI-predicted protein 3D structures to accelerate scientific research.
The AlphaFold Protein Structure Database is a collaborative project between Google DeepMind and EMBL-EBI. It hosts a vast collection of protein structure predictions generated by AlphaFold, an AI system developed by Google DeepMind. This system predicts a protein’s 3D structure from its amino acid sequence with accuracy competitive with experimental methods.
The database offers free access to over 200 million entries, covering a broad range of proteins from UniProt, including human proteomes and those of other key organisms. It also includes predictions for protein complexes, prioritizing those important for understanding human health and disease. The data is available for both academic and commercial use under a CC-BY-4.0 licence, with attribution expected.
Key Features
- Searchable database of protein structures
- Over 200 million protein structure predictions
- Coverage of UniProt and key organisms
- Individual downloads for proteomes
- Protein complex predictions
- Open source code for generating predictions
- API for programmatic access
- Online training courses and tutorials
Pros
- Provides open access to a vast dataset of protein structures
- Predictions achieve accuracy competitive with experimental methods
- Supports both academic and commercial use under a permissive license
- Includes predictions for protein complexes, enhancing utility
- Offers an API and downloadable datasets for research
Cons
- Still has some limitations in prediction accuracy for certain cases
- Requires attribution for use in publications or services
- User interface primarily for searching, not interactive modeling
- Relies on external open-source code for custom predictions
- Updates are periodic, not real-time for all new sequences
Use Cases
- Understanding protein function and role
- Accelerating drug discovery and development
- Investigating disease mechanisms
- Designing new proteins or enzymes
- Teaching and education in structural biology
Best For
- Biologists
- Biochemists
- Drug discovery researchers
- Bioinformatics scientists
- Academic institutions
Platforms: Web
Watch demo on YouTube ↗
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