New Results
An interpretable machine learning algorithm to predict disordered protein phase separation based on biophysical interactions
Hao Cai, Robert M. Vernon, View ORCID ProfileJulie D. Forman-Kay
doi: https://doi.org/10.1101/2022.07.06.499043
Hao Cai
1Molecular Medicine Program, Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada
Robert M. Vernon
1Molecular Medicine Program, Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada
Julie D. Forman-Kay
1Molecular Medicine Program, Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada
2Department of Biochemistry, University of Toronto, Toronto, Ontario, M5S 1A8, Canada
Article usage
Posted July 06, 2022.
An interpretable machine learning algorithm to predict disordered protein phase separation based on biophysical interactions
Hao Cai, Robert M. Vernon, Julie D. Forman-Kay
bioRxiv 2022.07.06.499043; doi: https://doi.org/10.1101/2022.07.06.499043
Subject Area
Subject Areas
- Biochemistry (11740)
- Bioengineering (8750)
- Bioinformatics (29189)
- Biophysics (14967)
- Cancer Biology (12093)
- Cell Biology (17410)
- Clinical Trials (138)
- Developmental Biology (9420)
- Ecology (14178)
- Epidemiology (2067)
- Evolutionary Biology (18301)
- Genetics (12239)
- Genomics (16797)
- Immunology (11865)
- Microbiology (28070)
- Molecular Biology (11583)
- Neuroscience (60953)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4957)
- Plant Biology (10425)
- Synthetic Biology (2884)
- Systems Biology (7338)
- Zoology (1651)