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An atlas of protein homo-oligomerization across domains of life.
Schweke, Hugo; Pacesa, Martin; Levin, Tal; Goverde, Casper A; Kumar, Prasun; Duhoo, Yoan; Dornfeld, Lars J; Dubreuil, Benjamin; Georgeon, Sandrine; Ovchinnikov, Sergey; Woolfson, Derek N; Correia, Bruno E; Dey, Sucharita; Levy, Emmanuel D.
Afiliação
  • Schweke H; Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot, Israel.
  • Pacesa M; Laboratory of Protein Design and Immunoengineering, École Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Levin T; Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot, Israel.
  • Goverde CA; Laboratory of Protein Design and Immunoengineering, École Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Kumar P; School of Chemistry, University of Bristol, Bristol BS8 1TS, UK; School of Biochemistry, University of Bristol, Bristol BS8 1TD, UK; Bristol BioDesign Institute, University of Bristol, Life Sciences Building, Bristol BS8 1TQ, UK; Max Planck-Bristol Centre for Minimal Biology, University of Bristol,
  • Duhoo Y; Protein Production and Structure Characterization Core Facility (PTPSP), School of Life Sciences, École polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Dornfeld LJ; Laboratory of Protein Design and Immunoengineering, École Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Dubreuil B; Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot, Israel.
  • Georgeon S; Laboratory of Protein Design and Immunoengineering, École Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Ovchinnikov S; John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA, USA.
  • Woolfson DN; School of Chemistry, University of Bristol, Bristol BS8 1TS, UK; School of Biochemistry, University of Bristol, Bristol BS8 1TD, UK; Bristol BioDesign Institute, University of Bristol, Life Sciences Building, Bristol BS8 1TQ, UK; Max Planck-Bristol Centre for Minimal Biology, University of Bristol,
  • Correia BE; Laboratory of Protein Design and Immunoengineering, École Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland. Electronic address: bruno.correia@epfl.ch.
  • Dey S; Department of Bioscience and Bioengineering, Indian Institute of Technology Jodhpur, Rajasthan, India. Electronic address: sdey@iitj.ac.in.
  • Levy ED; Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot, Israel. Electronic address: emmanuel.levy@gmail.com.
Cell ; 187(4): 999-1010.e15, 2024 Feb 15.
Article em En | MEDLINE | ID: mdl-38325366
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Proteínas / Proteoma Limite: Humans Idioma: En Revista: Cell Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Israel

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Proteínas / Proteoma Limite: Humans Idioma: En Revista: Cell Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Israel