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A whole-cell computational model predicts phenotype from genotype.全细胞计算模型从基因型预测表型。
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A systems biology approach reveals common metastatic pathways in osteosarcoma.一种系统生物学方法揭示了骨肉瘤中常见的转移途径。
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Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks.抗癌药物的序贯应用通过重新布线细胞凋亡信号网络增强细胞死亡。
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Network medicine strikes a blow against breast cancer.网络医学直击乳腺癌。
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Host-pathogen interactome mapping for HTLV-1 and -2 retroviruses.宿主-病原体相互作用组图谱绘制用于 HTLV-1 和 -2 逆转录病毒。
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系统生物学在分子生命科学及其对生物医学的影响。

Systems biology for molecular life sciences and its impact in biomedicine.

机构信息

Department of Molecular Biology and Biochemistry, University of Málaga, Malaga, Spain.

出版信息

Cell Mol Life Sci. 2013 Mar;70(6):1035-53. doi: 10.1007/s00018-012-1109-z. Epub 2012 Aug 19.

DOI:10.1007/s00018-012-1109-z
PMID:22903296
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11113420/
Abstract

Modern systems biology is already contributing to a radical transformation of molecular life sciences and biomedicine, and it is expected to have a real impact in the clinical setting in the next years. In this review, the emergence of systems biology is contextualized with a historic overview, and its present state is depicted. The present and expected future contribution of systems biology to the development of molecular medicine is underscored. Concerning the present situation, this review includes a reflection on the "inflation" of biological data and the urgent need for tools and procedures to make hidden information emerge. Descriptions of the impact of networks and models and the available resources and tools for applying them in systems biology approaches to molecular medicine are provided as well. The actual current impact of systems biology in molecular medicine is illustrated, reviewing two cases, namely, those of systems pharmacology and cancer systems biology. Finally, some of the expected contributions of systems biology to the immediate future of molecular medicine are commented.

摘要

现代系统生物学已经为分子生命科学和生物医学的彻底变革做出了贡献,并有望在未来几年在临床环境中产生真正的影响。在这篇综述中,系统生物学的出现是在历史概述的背景下进行的,并描述了其现状。强调了系统生物学对分子医学发展的当前和预期的未来贡献。就现状而言,本文还反思了生物数据的“膨胀”,以及迫切需要工具和程序来挖掘隐藏信息。本文还描述了网络和模型的影响,以及在分子医学系统生物学方法中应用它们的现有资源和工具。通过回顾系统药理学和癌症系统生物学这两个案例来说明系统生物学在分子医学中的实际当前影响。最后,还讨论了系统生物学对分子医学的近期未来的一些预期贡献。