Back to Search Start Over

Decoding kinase-adverse event associations for small molecule kinase inhibitors

Authors :
Xiajing Gong
Meng Hu
Jinzhong Liu
Geoffrey Kim
James Xu
Amy McKee
Todd Palmby
R. Angelo de Claro
Liang Zhao
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

Subjects :
Science

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