Computed structures of core eukaryotic protein complexes

Author:

Humphreys Ian R.12ORCID,Pei Jimin34ORCID,Baek Minkyung12ORCID,Krishnakumar Aditya12ORCID,Anishchenko Ivan12ORCID,Ovchinnikov Sergey56ORCID,Zhang Jing34ORCID,Ness Travis J.7ORCID,Banjade Sudeep8,Bagde Saket R.8ORCID,Stancheva Viktoriya G.9ORCID,Li Xiao-Han9ORCID,Liu Kaixian10ORCID,Zheng Zhi1011ORCID,Barrero Daniel J.12,Roy Upasana13ORCID,Kuper Jochen14ORCID,Fernández Israel S.15,Szakal Barnabas16ORCID,Branzei Dana1617ORCID,Rizo Josep41819ORCID,Kisker Caroline14ORCID,Greene Eric C.13ORCID,Biggins Sue12ORCID,Keeney Scott101120ORCID,Miller Elizabeth A.9ORCID,Fromme J. Christopher8ORCID,Hendrickson Tamara L.7ORCID,Cong Qian34ORCID,Baker David1221ORCID

Affiliation:

1. Department of Biochemistry, University of Washington, Seattle, WA, USA.

2. Institute for Protein Design, University of Washington, Seattle, WA, USA.

3. Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA.

4. Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA.

5. Faculty of Arts and Sciences, Division of Science, Harvard University, Cambridge, MA, USA.

6. John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA, USA.

7. Department of Chemistry, Wayne State University, Detroit, MI, USA.

8. Department of Molecular Biology and Genetics, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.

9. MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, UK.

10. Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

11. Gerstner Sloan Kettering Graduate School of Biomedical Sciences, New York, NY, USA.

12. Howard Hughes Medical Institute, Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

13. Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA.

14. Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg, Würzburg, Germany.

15. Department of Structural Biology, St Jude Children’s Research Hospital, Memphis, TN, USA.

16. IFOM, the FIRC Institute of Molecular Oncology, Via Adamello 16, 20139, Milan, Italy.

17. Istituto di Genetica Molecolare, Consiglio Nazionale delle Ricerche (IGM-CNR), Via Abbiategrasso 207, 27100, Pavia, Italy.

18. Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX, USA.

19. Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX, USA.

20. Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

21. Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.

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

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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