周建平. 癌症的系统生物学模型研究进展[J]. 信阳师范学院学报(自然科学版), 2014, 27(4): 619-622. DOI: 10.3969/j.issn.1003-0972.2014.04.037
引用本文: 周建平. 癌症的系统生物学模型研究进展[J]. 信阳师范学院学报(自然科学版), 2014, 27(4): 619-622. DOI: 10.3969/j.issn.1003-0972.2014.04.037
Zhou Jianping . Progress in Systems Biological Modeling of Cancer[J]. Journal of Xinyang Normal University (Natural Science Edition), 2014, 27(4): 619-622. DOI: 10.3969/j.issn.1003-0972.2014.04.037
Citation: Zhou Jianping . Progress in Systems Biological Modeling of Cancer[J]. Journal of Xinyang Normal University (Natural Science Edition), 2014, 27(4): 619-622. DOI: 10.3969/j.issn.1003-0972.2014.04.037

癌症的系统生物学模型研究进展

Progress in Systems Biological Modeling of Cancer

  • 摘要: 系统生物学研究采用的是系统性的研究方法,即获取并整合目标系统不同层次的生物学信息,构建适用于该生物系统的数学模型,对该系统的特征性行为进行系统性研究.癌症是一种复杂的生物系统,已成为系统生物学研究的热点领域.癌症的系统生物学模型是对传统的癌症动物模型的补充,主要包括:统计推断模型、生化网络模型、以及组织水平模型等.本文综述了这些系统模型方法在癌症研究中的应用情况及其取得的重要研究成果

     

    Abstract: Systems biology is a biology-based inter-disciplinary field which focuses on complex interactions within biological systems. Systems biological study can integrate multi-dimensional data describing the target biological system at different levels, and establish mathematical models of the system to study the characteristic behaviors of the system by virtual simulation, interference and forecasts. As complex biological systems, cancers have been extensively studied in systems biology. Systems biology models of cancers,including statistics-based models,signaling and metabolic biochemical models and tissue-level models,are valuable supplement to traditional animal models in cancer research. In this review,  some valuable mathematical modeling efforts made in cancer systems biology were overviewed.

     

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