An atlas of protein homo-oligomerization across domains of life

Hugo Schweke(Weizmann Institute of Science), Martin Pačesa(SIB Swiss Institute of Bioinformatics), Tal Levin(Weizmann Institute of Science), Casper A. Goverde(SIB Swiss Institute of Bioinformatics), Prasun Kumar(University of Bristol), Yoan Duhoo(École Polytechnique Fédérale de Lausanne), L Dornfeld(SIB Swiss Institute of Bioinformatics), Benjamin Dubreuil(Weizmann Institute of Science), Sandrine Georgeon(SIB Swiss Institute of Bioinformatics), Sergey Ovchinnikov(Harvard University Press), Derek N. Woolfson(University of Bristol), Bruno E. Correia(SIB Swiss Institute of Bioinformatics), Sucharita Dey(Indian Institute of Technology Jodhpur), Emmanuel D. Levy(Weizmann Institute of Science)
Cell
February 1, 2024
Cited by 142Open Access
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Abstract

Protein structures are essential to understanding cellular processes in molecular detail. While advances in artificial intelligence revealed the tertiary structure of proteins at scale, their quaternary structure remains mostly unknown. We devise a scalable strategy based on AlphaFold2 to predict homo-oligomeric assemblies across four proteomes spanning the tree of life. Our results suggest that approximately 45% of an archaeal proteome and a bacterial proteome and 20% of two eukaryotic proteomes form homomers. Our predictions accurately capture protein homo-oligomerization, recapitulate megadalton complexes, and unveil hundreds of homo-oligomer types, including three confirmed experimentally by structure determination. Integrating these datasets with omics information suggests that a majority of known protein complexes are symmetric. Finally, these datasets provide a structural context for interpreting disease mutations and reveal coiled-coil regions as major enablers of quaternary structure evolution in human. Our strategy is applicable to any organism and provides a comprehensive view of homo-oligomerization in proteomes.


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