AI - DeepMind AlphaFold
Revolutionizing structural biology through advanced AI models for protein structure prediction, powered by DeepMind AlphaFold's deep learning techniques and open-source collaborations.
- Name
- DeepMind AlphaFold -https://github.com/deepmind/alphafold
- Last Audited At
About DeepMind AlphaFold
DeepMind AlphaFold is a leading AI research company specializing in artificial intelligence (AI) for structural biology. Their flagship product, AlphaFold, leverages deep neural networks and other advanced machine learning techniques to predict protein structures with unprecedented accuracy.
DeepMind AlphaFold develops advanced computational models that enable the prediction of protein structures directly from amino acid sequences. It communicates with various separate libraries and packages for data processing and model development, including "bfd," "mgnify," "params," "pdb70," "pdb_mmcif," "uniref30," "uniprot," and "uniref90."
The mission of DeepMind AlphaFold is to revolutionize the field of structural biology by making it easier, faster, and more accessible. They provide advanced AI models to predict protein structures that help scientists understand biological processes at a molecular level. Their core offering, AlphaFold, uses deep learning techniques for protein structure prediction.
DeepMind AlphaFold has achieved notable milestones in the field of structural biology. Their models have been used to predict protein structures for various proteins, and their accuracy surpasses traditional methods. Additionally, they have collaborated with several leading scientific organizations to advance research in this area.
The code from DeepMind AlphaFold is licensed under the Apache 2.0 License, while the AlphaFold parameters and CASP15 prediction data are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Users are encouraged to cite the original work when using their code or data.