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Decoding kinase-adverse event associations for small molecule kinase inhibitors
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Small molecule kinase inhibitors (SMKIs) are being approved at a fast pace under expedited programs for anticancer treatment. Here, the authors employ a machine-learning model to examine the relationships between kinase targets and adverse events in the trials of 16 FDA-approved SMKIs.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.0acfd12fa2c4416da16ad933f8db2dd9
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-32033-5