AlphaFold 3
AlphaFold 3: Predicting the Structure and Interactions of Life's Molecules
AlphaFold 3, developed by Google DeepMind and Isomorphic Labs, predicts the structure and interactions of all life’s molecules, transforming biological understanding and drug discovery. Available via the free AlphaFold Server, it models proteins, DNA, RNA, ligands, and more with unprecedented accuracy, facilitating breakthroughs in various scientific fields.
2024-07-05
7711.2K
AlphaFold 3 Product Information
AlphaFold 3: Predicting the Structure and Interactions of Life's Molecules
What's AlphaFold 3
AlphaFold 3, a new AI model developed by Google DeepMind and Isomorphic Labs, accurately predicts the structure of proteins, DNA, RNA, ligands, and more. By understanding these interactions, AlphaFold 3 hopes to transform biological understanding and drug discovery. Launched on May 8, 2024, this model builds on the success of AlphaFold 2 and offers enhanced accuracy and capabilities.
Features
Unprecedented Accuracy
AlphaFold 3 predicts molecular interactions with at least 50% improvement compared to existing methods and doubles prediction accuracy for important categories. Its Evoformer module and diffusion network architecture allow it to model large biomolecules and chemical modifications.
Free AlphaFold Server
The AlphaFold Server is a free, easy-to-use research tool that scientists can use to model structures of proteins, DNA, RNA, ligands, ions, and chemical modifications. It democratizes access to advanced AI for researchers worldwide.
Drug Discovery
AlphaFold 3's predictions aid in drug design by accurately modeling drug-like interactions, including antibody-protein binding. Isomorphic Labs collaborates with pharmaceutical companies to apply AlphaFold 3 to real-world challenges, aiming to develop new treatments.
Responsible Sharing
Google DeepMind is committed to sharing AlphaFold 3 responsibly, conducting extensive risk assessments and collaborating with over 50 domain experts. The AlphaFold database of 200 million protein structures and the free online course expand access to this transformative technology.
Use Case
Drug Design and Biological Research
AlphaFold 3 accelerates drug discovery and biological research by predicting molecular structures and interactions. It has been instrumental in understanding immune responses, developing malaria vaccines, cancer treatments, and more resilient crops. Scientists can test novel hypotheses and innovate faster using the AlphaFold Server.
FAQ
What is AlphaFold 3?
AlphaFold 3 is an AI model developed by Google DeepMind and Isomorphic Labs to predict the structure and interactions of all life’s molecules with unprecedented accuracy.
How accurate is AlphaFold 3?
AlphaFold 3 offers at least a 50% improvement in predicting molecular interactions compared to existing methods and doubles accuracy for certain categories.
What can I use AlphaFold 3 for?
AlphaFold 3 can be used for drug design, biological research, and understanding molecular interactions in various fields, including immunology, genomics, and agriculture.
Is AlphaFold 3 free to use?
Yes, the AlphaFold Server is a free platform available to scientists for non-commercial research purposes.
How to Use AlphaFold 3
Accessing the AlphaFold Server
Scientists can access the AlphaFold Server through alphafoldserver.com. The platform allows users to input lists of molecules and generate their 3D structures, facilitating research and discovery.
Predicting Molecular Structures
AlphaFold 3 uses an improved Evoformer module and diffusion network to process inputs and predict molecular structures. This system models proteins, DNA, RNA, ligands, ions, and chemical modifications accurately.
Conclusion
AlphaFold 3 marks a significant advancement in AI-powered biology, offering unprecedented accuracy in predicting molecular structures and interactions. Its applications in drug discovery and biological research hold immense potential, making it a valuable tool for scientists worldwide. The free AlphaFold Server ensures broad access to this transformative technology, fostering innovation and accelerating scientific discovery.