Computed structures of core eukaryotic protein complexes

Abstract

Deep learning for protein interactions The use of deep learning has revolutionized the field of protein modeling. Humphreys et al . combined this approach with proteome-wide, coevolution-guided protein interaction identification to conduct a large-scale screen of protein-protein interactions in yeast (see the Perspective by Pereira and Schwede). The authors generated predicted interactions and accurate structures for complexes spanning key biological processes in Saccharomyces cerevisiae . The complexes include larger protein assemblies such as trimers, tetramers, and pentamers and provide insights into biological function. —VV

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Affiliated Institutions

• University of Würzburg DE
• Harvard University US
• Fred Hutch Cancer Center US
• Columbia University US
• Istituto di Genetica Molecolare IT
• The University of Texas Southwestern Medical Center US
• IFOM IT
• MRC Laboratory of Molecular Biology GB
• University of Washington US
• Cornell University US
• St. Jude Children's Research Hospital US
• Kettering University US
• Howard Hughes Medical Institute US
• Wayne State University US
• Memorial Sloan Kettering Cancer Center US
• Harvard University Press US
• Cancer Research Center US

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