Cargando…
Non-linear Deep Neural Network for Rapid and Accurate Prediction of Phenotypic Responses to Kinase Inhibitors
Protein kinase inhibitors are one of the most successful targeted therapies to date. Despite this progress, additional kinase inhibitors are needed to expand the target space as well as overcome drug resistance that has emerged in clinical setting. Here, we developed KiDNN (Kinase inhibitor predicti...
Autores principales: | Vijay, Siddharth, Gujral, Taranjit S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235637/ https://www.ncbi.nlm.nih.gov/pubmed/32434142 http://dx.doi.org/10.1016/j.isci.2020.101129 |
Ejemplares similares
-
Deep neural network modeling identifies biomarkers of response to immune-checkpoint therapy
por: Kang, Yuqi, et al.
Publicado: (2022) -
KInhibition: A Kinase Inhibitor Selection Portal
por: Bello, Thomas, et al.
Publicado: (2018) -
NetBCE: An Interpretable Deep Neural Network for Accurate Prediction of Linear B-cell Epitopes
por: Xu, Haodong, et al.
Publicado: (2022) -
Deep neural networks for accurate predictions of crystal stability
por: Ye, Weike, et al.
Publicado: (2018) -
Accurate brain age prediction with lightweight deep neural networks
por: Peng, Han, et al.
Publicado: (2021)