Cargando…
Stratification and prediction of drug synergy based on target functional similarity
Drug combinations can expand therapeutic options and address cancer’s resistance. However, the combinatorial space is enormous precluding its systematic exploration. Therefore, synergy prediction strategies are essential. We here present an approach to prioritise drug combinations in high-throughput...
Autores principales: | Yang, Mi, Jaaks, Patricia, Dry, Jonathan, Garnett, Mathew, Menden, Michael P., Saez-Rodriguez, Julio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265486/ https://www.ncbi.nlm.nih.gov/pubmed/32487991 http://dx.doi.org/10.1038/s41540-020-0136-x |
Ejemplares similares
-
Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties
por: Menden, Michael P., et al.
Publicado: (2013) -
A statistical framework for assessing pharmacological responses and biomarkers using uncertainty estimates
por: Wang, Dennis, et al.
Publicado: (2020) -
Patient‐specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies
por: Eduati, Federica, et al.
Publicado: (2020) -
Looking beyond the cancer cell for effective drug combinations
por: Dry, Jonathan R., et al.
Publicado: (2016) -
The germline genetic component of drug sensitivity in cancer cell lines
por: Menden, Michael P., et al.
Publicado: (2018)