Deisboeck Thomas S, Zhang Le, Martin Sean
Complex Biosystems Modeling Laboratory, Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.
Cancer Inform. 2007;5:1-8. Epub 2007 Mar 30.
Integrative cancer biology research relies on a variety of data-driven computational modeling and simulation methods and techniques geared towards gaining new insights into the complexity of biological processes that are of critical importance for cancer research. These include the dynamics of gene-protein interaction networks, the percolation of sub-cellular perturbations across scales and the impact they may have on tumorigenesis in both experiments and clinics. Such innovative 'systems' research will greatly benefit from enabling Information Technology that is currently under development, including an online collaborative environment, a Semantic Web based computing platform that hosts data and model repositories as well as high-performance computing access. Here, we present one of the National Cancer Institute's recently established Integrative Cancer Biology Programs, i.e. the Center for the Development of a Virtual Tumor, CViT, which is charged with building a cancer modeling community, developing the aforementioned enabling technologies and fostering multi-scale cancer modeling and simulation.
整合癌症生物学研究依赖于各种数据驱动的计算建模和模拟方法及技术，旨在深入了解对癌症研究至关重要的生物过程的复杂性。这些过程包括基因 - 蛋白质相互作用网络的动态变化、亚细胞扰动在不同尺度上的渗透以及它们在实验和临床中对肿瘤发生可能产生的影响。这种创新性的“系统”研究将极大地受益于当前正在开发的信息技术，包括在线协作环境、托管数据和模型存储库的基于语义网的计算平台以及高性能计算访问。在此，我们介绍美国国立癌症研究所最近设立的一个整合癌症生物学项目，即虚拟肿瘤开发中心（CViT），该中心负责建立癌症建模社区、开发上述支持技术并促进多尺度癌症建模与模拟。
