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Discovering Molecular Targets in Cancer with Multiscale Modeling
Zhihui Wang1, Veronika Bordas, Thomas S Deisboeck
1Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.
Drug Development Research
|May 17, 2011
Summary
Multiscale modeling in cancer systems biology aids target discovery. This approach uses innovative cross-scale analysis to find effective molecular therapeutic targets for systems medicine.
Area of Science:
- Computational cancer systems biology
- Multiscale modeling
Background:
- Multiscale modeling is emerging as a significant field in computational cancer systems biology.
- Identifying high-value molecular therapeutic targets remains a critical challenge in cancer research.
Purpose of the Study:
- To explain the utility of multiscale modeling in identifying molecular therapeutic targets.
- To demonstrate how an integrated cross-scale analytical technique enhances target discovery.
Main Methods:
- Utilizing two pioneering studies as examples.
- Applying an innovative cross-scale analytical technique within a multiscale modeling framework.
Main Results:
- Multiscale modeling, combined with cross-scale analysis, proves effective for identifying molecular therapeutic targets.
- The integrated approach offers a more robust in silico framework for drug target identification.
Conclusions:
- This novel multiscale approach represents a significant advancement in computational cancer research.
- The methodology paves the way for more effective systems medicine strategies in oncology.
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