
Altos Labs
Restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and disabilities.

AI system predicting protein structures to accelerate biological research.

AlphaFold is an AI system developed by DeepMind that predicts the 3D structure of proteins from their amino acid sequence. It leverages deep learning techniques, including convolutional neural networks and attention mechanisms, to model the complex interactions between amino acids. AlphaFold's architecture involves predicting distances between amino acid residues and angles between chemical bonds, which are then used to construct a complete protein structure. The tool significantly accelerates research by providing accurate protein structure predictions in minutes, reducing the need for time-consuming and expensive experimental methods like X-ray crystallography and cryo-EM. Use cases include drug discovery, enzyme engineering, and understanding disease mechanisms. AlphaFold Server provides free access to its structure prediction capabilities for non-commercial research, enhancing its accessibility and impact.
AlphaFold is an AI system developed by DeepMind that predicts the 3D structure of proteins from their amino acid sequence.
Explore all tools that specialize in identify potential drug targets. This domain focus ensures AlphaFold delivers optimized results for this specific requirement.
Explore all tools that specialize in drug target identification. This domain focus ensures AlphaFold delivers optimized results for this specific requirement.
Achieves atomic accuracy in protein structure prediction, with a median error (RMSD_95) of less than 1 Angstrom.
Predicted the structures of over 200 million proteins, covering nearly all catalogued proteins known to science.
Provides a user-friendly web interface for researchers to submit protein sequences and obtain structure predictions.
AlphaFold 3 predicts how proteins interact with other molecules throughout cells.
The AlphaFold code and weights are available for academic use, enabling researchers to build upon and customize the system.
Access the AlphaFold Server or download AlphaFold 3.
Prepare the amino acid sequence of the protein of interest.
Submit the sequence to the AlphaFold Server for prediction.
Download the predicted 3D structure in PDB format.
Visualize the structure using molecular visualization software like PyMOL or Chimera.
Analyze the structure for insights into protein function and interactions.
Use the predicted structure to guide experimental studies, such as mutagenesis or drug design.
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"Highly accurate and widely used for protein structure prediction, accelerating research in various fields."
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Restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and disabilities.

Open source code for AlphaFold 2, an AI system for protein structure prediction.
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