Computed structures of core eukaryotic protein complexes.
Journal:
Science (New York, N.Y.)
PMID:
34762488
Abstract
Protein-protein interactions play critical roles in biology, but the structures of many eukaryotic protein complexes are unknown, and there are likely many interactions not yet identified. We take advantage of advances in proteome-wide amino acid coevolution analysis and deep-learning–based structure modeling to systematically identify and build accurate models of core eukaryotic protein complexes within the proteome. We use a combination of RoseTTAFold and AlphaFold to screen through paired multiple sequence alignments for 8.3 million pairs of yeast proteins, identify 1505 likely to interact, and build structure models for 106 previously unidentified assemblies and 806 that have not been structurally characterized. These complexes, which have as many as five subunits, play roles in almost all key processes in eukaryotic cells and provide broad insights into biological function.
Authors
Keywords
Acyltransferases
Chromosome Segregation
Computational Biology
Computer Simulation
Deep Learning
DNA Repair
Evolution, Molecular
Homologous Recombination
Ligases
Membrane Proteins
Models, Molecular
Multiprotein Complexes
Protein Biosynthesis
Protein Conformation
Protein Interaction Mapping
Protein Interaction Maps
Proteome
Ribosomes
Saccharomyces cerevisiae
Saccharomyces cerevisiae Proteins
Ubiquitin