Predicting cancer drug mechanisms of action using molecular network signatures
Molecular signatures are a powerful approach to characterize novel small molecules and derivatized small molecule libraries. While new experimental techniques are being developed in diverse model systems, informatics approaches lag behind these exciting advances. We propose an analysis pipeline for...
Main Authors: | Pritchard, Justin R., Bruno, Peter Michael, Hemann, Michael, Lauffenburger, Douglas A |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Biological Engineering |
Format: | Article |
Language: | en_US |
Published: |
Royal Society of Chemistry
2014
|
Online Access: | http://hdl.handle.net/1721.1/88980 https://orcid.org/0000-0003-3383-0118 |
Similar Items
-
Defining principles of combination drug mechanisms of action
by: Bruno, Peter Michael, et al.
Published: (2013) -
Addressing Genetic Tumor Heterogeneity through Computationally Predictive Combination Therapy
by: Zhao, Boyang, et al.
Published: (2014) -
A mammalian functional-genetic approach to characterizing cancer therapeutics
by: Williams, Richard T., et al.
Published: (2011) -
Understanding resistance to combination chemotherapy
by: Pritchard, Justin R., et al.
Published: (2014) -
Systems level characterizations of single and combination drug mechanisms of action in vitro and in vivo
by: Pritchard, Justin (Justin Robert)
Published: (2012)