AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms

Nicola Bordin; Ian Sillitoe; Vamsi Nallapareddy; Clemens Rauer; Su Datt Lam; Vaishali P. Waman; Neeladri Sen; Michael Heinzinger; Maria Littmann; Stephanie Kim; Sameer Velankar; Martin Steinegger; Burkhard Rost; Christine Orengo

doi:10.1038/s42003-023-04488-9

Communications Biology (Feb 2023)

AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms

Nicola Bordin,
Ian Sillitoe,
Vamsi Nallapareddy,
Clemens Rauer,
Su Datt Lam,
Vaishali P. Waman,
Neeladri Sen,
Michael Heinzinger,
Maria Littmann,
Stephanie Kim,
Sameer Velankar,
Martin Steinegger,
Burkhard Rost,
Christine Orengo

Affiliations

Nicola Bordin: Institute of Structural and Molecular Biology, University College London
Ian Sillitoe: Institute of Structural and Molecular Biology, University College London
Vamsi Nallapareddy: Institute of Structural and Molecular Biology, University College London
Clemens Rauer: Institute of Structural and Molecular Biology, University College London
Su Datt Lam: Institute of Structural and Molecular Biology, University College London
Vaishali P. Waman: Institute of Structural and Molecular Biology, University College London
Neeladri Sen: Institute of Structural and Molecular Biology, University College London
Michael Heinzinger: TUM (Technical University of Munich) Department of Informatics, Bioinformatics & Computational Biology
Maria Littmann: TUM (Technical University of Munich) Department of Informatics, Bioinformatics & Computational Biology
Stephanie Kim: School of Biological Sciences, Seoul National University
Sameer Velankar: European Molecular Biology Laboratory, European Bioinformatics Institute
Martin Steinegger: School of Biological Sciences, Seoul National University
Burkhard Rost: TUM (Technical University of Munich) Department of Informatics, Bioinformatics & Computational Biology
Christine Orengo: Institute of Structural and Molecular Biology, University College London

DOI: https://doi.org/10.1038/s42003-023-04488-9
Journal volume & issue: Vol. 6, no. 1
pp. 1 – 12

Abstract

Read online

A new protein domain classification protocol incorporating deep learning strategies for detecting sequence and structure similarities between domain is used to systematically study and analyse the predicted AlphaFold2 structural models for proteins of 21 organisms.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

About the journal