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What is hidden in the darkness? Characterization of AlphaFold structural space

View ORCID ProfileJanani Durairaj, View ORCID ProfileJoana Pereira, View ORCID ProfileMehmet Akdel, View ORCID ProfileTorsten Schwede
doi: https://doi.org/10.1101/2022.10.11.511548
Janani Durairaj
1Biozentrum, University of Basel, SIB Swiss Institute of Bioinformatics
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Joana Pereira
1Biozentrum, University of Basel, SIB Swiss Institute of Bioinformatics
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Mehmet Akdel
2VantAI, New York
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Torsten Schwede
1Biozentrum, University of Basel, SIB Swiss Institute of Bioinformatics
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  • For correspondence: torsten.schwede@unibas.ch
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Abstract

The recent public release of the latest version of the AlphaFold database has given us access to over 200 million predicted protein structures. We use a “shape-mer” approach, a structural fragmentation method analogous to sequence k-mers, to describe these structures and look for novelties - both in terms of proteins with rare or novel structural composition and possible functional annotation of under-studied proteins. Data and code will be made available at https://github.com/TurtleTools/afdb-shapemer-darkness

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • janani.durairaj{at}unibas.ch, joana.pereira{at}unibas.ch, mehmet{at}vant.ai

  • https://github.com/TurtleTools/afdb-shapemer-darkness

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted October 13, 2022.
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What is hidden in the darkness? Characterization of AlphaFold structural space
Janani Durairaj, Joana Pereira, Mehmet Akdel, Torsten Schwede
bioRxiv 2022.10.11.511548; doi: https://doi.org/10.1101/2022.10.11.511548
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What is hidden in the darkness? Characterization of AlphaFold structural space
Janani Durairaj, Joana Pereira, Mehmet Akdel, Torsten Schwede
bioRxiv 2022.10.11.511548; doi: https://doi.org/10.1101/2022.10.11.511548

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