Wang Zhihui, Bordas Veronika, Deisboeck Thomas S
Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.
Drug Dev Res. 2011 Feb 1;72(1):45-52. doi: 10.1002/ddr.20401.
Multiscale modeling is increasingly being recognized as a promising research area in computational cancer systems biology. Here, 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 towards systems medicine.
多尺度建模在计算癌症系统生物学中日益被视为一个有前景的研究领域。在此，以两项开创性研究为例，我们试图解释为何以及如何将这种多尺度方法与一种创新的跨尺度分析技术相结合，能够有助于识别高价值的分子治疗靶点。这种新颖的综合方法有潜力为靶点发现提供一个更有效的计算机模拟框架，代表了迈向系统医学的重要技术一步。
