Vidal Marc
Center for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, 44 Binney Street, Boston, MA 02115, USA.
FEBS Lett. 2005 Mar 21;579(8):1834-8. doi: 10.1016/j.febslet.2005.02.030.
A long-term goal of the field of interactome modeling is to understand how global and local properties of complex macromolecular networks impact on observable biological properties, and how changes in such properties can lead to human diseases. The information available at this stage of development of the field provides strong evidence for the existence of such interesting global and local properties, but also demonstrates that many more datasets will be needed to provide accurate models with increasingly predictive capacity. This review focuses on an early attempt at mapping a multicellular interactome network and on the lessons learned from that attempt.
相互作用组建模领域的一个长期目标是了解复杂大分子网络的全局和局部特性如何影响可观察到的生物学特性，以及这些特性的变化如何导致人类疾病。在该领域发展的现阶段所获得的信息为这类有趣的全局和局部特性的存在提供了有力证据，但也表明需要更多数据集来提供具有越来越强预测能力的精确模型。本综述重点关注绘制多细胞相互作用组网络的早期尝试以及从该尝试中吸取的经验教训。
