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There are hundreds of millions of sequenced proteins and counting—but only 170,000 have had their structures solved by researchers, bottlenecking our understanding of proteins and their functions across organisms’ genomes. Now, researchers led by Oak Ridge National Laboratory (ORNL) and the Georgia Institute of Technology have applied supercomputer-powered deep learning to quickly predict the structures and functions of tens of thousands more proteins.

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