Cargando…
Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis
Motivation: Analysis of relationships of drug structure to biological response is key to understanding off-target and unexpected drug effects, and for developing hypotheses on how to tailor drug therapies. New methods are required for integrated analyses of a large number of chemical features of dru...
Autores principales: | Khan, Suleiman A., Virtanen, Seppo, Kallioniemi, Olli P., Wennerberg, Krister, Poso, Antti, Kaski, Samuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147909/ https://www.ncbi.nlm.nih.gov/pubmed/25161239 http://dx.doi.org/10.1093/bioinformatics/btu456 |
Ejemplares similares
-
Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations
por: Suvitaival, Tommi, et al.
Publicado: (2014) -
Entropy-driven partitioning of the hierarchical protein space
por: Rappoport, Nadav, et al.
Publicado: (2014) -
Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs
por: Khan, Suleiman A, et al.
Publicado: (2012) -
Unveiling new biological relationships using shared hits of chemical screening assay pairs
por: Liu, Xueping, et al.
Publicado: (2014) -
Personalized identification of altered pathways in cancer using accumulated normal tissue data
por: Ahn, TaeJin, et al.
Publicado: (2014)