Journal
DRUG DISCOVERY TODAY
Volume 19, Issue 2, Pages 145-150Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.drudis.2013.06.015
Keywords
-
Categories
Funding
- Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging
- Department of Radiology at Massachusetts General Hospital
Ask authors/readers for more resources
Mathematical models have the potential to help discover new therapeutic targets and treatment strategies. In this review, we discuss how the latest developments in mathematical modeling can provide useful context for the rational design, validation and prioritization of novel cancer drug targets and their combinations. We give special attention to two modeling approaches: network-based modeling and multiscale modeling, because they have begun to show promise in facilitating the process of effective cancer drug discovery. Both modeling approaches are integrated with a variety of experimental methods to ensure proper parameterization and to maximize their predictive value. We also discuss several challenges faced in modeling-based drug discovery.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available