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Computed structures of core eukaryotic protein complexes

Cited 233 time in Web of Science Cited 241 time in Scopus
Authors

Humphreys, Ian R.; Pei, Jimin; Baek, Minkyung; Krishnakumar, Aditya; Anishchenko, Ivan; Ovchinnikov, Sergey; Zhang, Jing; Ness, Travis J.; Banjade, Sudeep; Bagde, Saket R.; Stancheva, Viktoriya G.; Li, Xiao-Han; Liu, Kaixian; Zheng, Zhi; Barrero, Daniel J.; Roy, Upasana; Kuper, Jochen; Fernandez, Israel S.; Szakal, Barnabas; Branzei, Dana; Rizo, Josep; Kisker, Caroline; Greene, Eric C.; Biggins, Sue; Keeney, Scott; Miller, Elizabeth A.; Fromme, J. Christopher; Hendrickson, Tamara L.; Cong, Qian; Baker, David

Issue Date
2021-11
Publisher
American Association for the Advancement of Science
Citation
Science, Vol.374 No.6573, p. eabm4805
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 Saccharomyces cerevisiae 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.
ISSN
0036-8075
URI
https://hdl.handle.net/10371/185870
DOI
https://doi.org/10.1126/science.abm4805
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