AlphaFold
A solution to the 50-year-old grand challenge of protein structure prediction.
Overview
AlphaFold is an artificial intelligence system developed by Google DeepMind which performs predictions of protein structure. It has revolutionized the field of structural biology by providing highly accurate predictions of protein 3D structures, often comparable to experimental methods. The AlphaFold Protein Structure Database, developed in partnership with EMBL-EBI, makes these predictions freely available to the scientific community.
✨ Key Features
- High-accuracy protein structure prediction
- Prediction of protein complexes (AlphaFold-Multimer)
- Per-residue confidence score (pLDDT)
- Open-source code available
- Large database of pre-computed structures
🎯 Key Differentiators
- Unprecedented accuracy in structure prediction.
- Attention-based deep learning architecture.
- Massive, freely accessible database of predicted structures.
Unique Value: Provides immediate, highly accurate 3D models for millions of proteins, democratizing access to structural information and dramatically accelerating biological research.
🎯 Use Cases (4)
✅ Best For
- Demonstrated state-of-the-art performance in CASP14 and CASP15 competitions.
- Structures from AlphaFold are being used to accelerate research in numerous biological areas.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Predicting conformational changes or protein dynamics
- Modeling the effect of mutations on structure with perfect accuracy
- Determining the structure of non-protein molecules
🏆 Alternatives
Significantly more accurate than previous prediction methods and vastly faster and cheaper than experimental methods.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: The software is open-source and the database is free to access.
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