Cargando…
INDI: a computational framework for inferring drug interactions and their associated recommendations
Inferring drug–drug interactions (DDIs) is an essential step in drug development and drug administration. Most computational inference methods focus on modeling drug pharmacokinetics, aiming at interactions that result from a common metabolizing enzyme (CYP). Here, we introduce a novel prediction me...
Autores principales: | Gottlieb, Assaf, Stein, Gideon Y, Oron, Yoram, Ruppin, Eytan, Sharan, Roded |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Molecular Biology Organization
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3421442/ https://www.ncbi.nlm.nih.gov/pubmed/22806140 http://dx.doi.org/10.1038/msb.2012.26 |
Ejemplares similares
-
PREDICT: a method for inferring novel drug indications with application to personalized medicine
por: Gottlieb, Assaf, et al.
Publicado: (2011) -
A method for inferring medical diagnoses from patient similarities
por: Gottlieb, Assaf, et al.
Publicado: (2013) -
Network-Free Inference of Knockout Effects in Yeast
por: Peleg, Tal, et al.
Publicado: (2010) -
A Novel HMM-Based Method for Detecting Enriched Transcription Factor Binding Sites Reveals RUNX3 as a Potential Target in Pancreatic Cancer Biology
por: Levkovitz, Liron, et al.
Publicado: (2010) -
Associating Genes and Protein Complexes with Disease via Network Propagation
por: Vanunu, Oron, et al.
Publicado: (2010)