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Kinome-wide activity classification of small molecules by deep learning
View ORCID ProfileBryce K. Allen, Nagi G. Ayad, Stephan C. Schürer
doi: https://doi.org/10.1101/512459
Bryce K. Allen
1Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, US
2Center for Computational Science, University of Miami, Miami, FL, US
Nagi G. Ayad
3Center for Therapeutic Innovation Miller School of Medicine, University of Miami, Miami, FL, US
4Miami Project to Cure Paralysis, Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, FL, US
5Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, FL, US
Stephan C. Schürer
1Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, US
2Center for Computational Science, University of Miami, Miami, FL, US
5Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, FL, US

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Posted January 04, 2019.
Kinome-wide activity classification of small molecules by deep learning
Bryce K. Allen, Nagi G. Ayad, Stephan C. Schürer
bioRxiv 512459; doi: https://doi.org/10.1101/512459
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