Journal
DRUG DEVELOPMENT RESEARCH
Volume 72, Issue 1, Pages 45-52Publisher
WILEY-BLACKWELL
DOI: 10.1002/ddr.20401
Keywords
computational modeling; multiscale; epidermal growth factor receptor; non-small cell lung cancer; signaling pathway
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Funding
- National Institutes of Health [CA 113004]
- Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging
- Department of Radiology, Massachusetts General Hospital
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Multiscale modeling is being recognized increasingly as a promising research area in computational cancer systems biology. In the present review, exemplified by two pioneering studies, we attempt to explain why and how such a multiscale approach paired with an innovative cross-scale analytical technique can be useful in identifying high-value molecular therapeutic targets. This novel, integrated approach has the potential to offer a more effective in silico framework for target discovery and represents an important technical step toward systems medicine. Drug Dev Res 72: 45-52, 2011. (C) 2010 Wiley-Liss, Inc.
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