Google DeepMind has introduced the AlphaFold 3 artificial intelligence model, which is used to predict the structure of molecules. This comes after the release of AlphaFold 2 in 2020 and the creation of a protein structure database in 2022, which is available for researchers to access for free.
According to DeepMind, there have been over 20,000 research references to AlphaFold, which have been utilized in designing vaccines for malaria, cancer, and enzyme design. AlphaFold 3 enhances the accuracy of predicting both molecular structures and interactions with other molecules. Researchers can input multiple sets of molecular structures, and AlphaFold will predict how they interact, such as proteins that bind to DNA like 7R6R, or proteins like 8AW3 that modify RNA. These predictions are made with precision, saving time and millions of dollars in experimental costs.
With this latest unveiling, DeepMind will open the AlphaFold Server for non-profit researchers to use for free. Researchers can input initial data like DNA or RNA, ions in reactions, ligands, and related proteins, and AlphaFold will predict the reactions without the need for prior experimentation.
TLDR: Google DeepMind introduces AlphaFold 3 AI for predicting molecular structures with enhanced accuracy, offering the AlphaFold Server for non-profit researchers to access for free.
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