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Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning
View ORCID ProfileAlex X Lu, Amy X Lu, View ORCID ProfileIva Pritišanac, View ORCID ProfileTaraneh Zarin, View ORCID ProfileJulie D Forman-Kay, Alan M Moses
doi: https://doi.org/10.1101/2021.07.29.454330
Alex X Lu
1Department of Computer Science, University of Toronto, Toronto, Canada (Microsoft Research, Cambridge, MA)
Amy X Lu
2Department of Computer Science, University of Toronto, Toronto, Canada (Department of Electrical Engineering and Computer Sciences, Berkeley, CA)
Iva Pritišanac
3Department of Cell and Systems Biology, University of Toronto, Canada and Program in Molecular Medicine, Hospital for Sick Children, Toronto, Canada (Medical University of Graz, Austria)
Taraneh Zarin
4Department of Cell and Systems Biology, University of Toronto, Canada (Systems Biology Program, Center for Genomic Regulation, Barcelona, Spain)
Julie D Forman-Kay
5Program in Molecular Medicine, Hospital for Sick Children and Department of Biochemistry, University of Toronto, Canada
Alan M Moses
6Department of Cell and Systems Biology and Department of Computer Science, University of Toronto, Toronto, Canada
Posted March 03, 2022.
Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning
Alex X Lu, Amy X Lu, Iva Pritišanac, Taraneh Zarin, Julie D Forman-Kay, Alan M Moses
bioRxiv 2021.07.29.454330; doi: https://doi.org/10.1101/2021.07.29.454330
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