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A systematic approach to orient the human protein–protein interaction network

机译:定向人蛋白蛋白质相互作用网络的系统方法

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The protein-protein interaction (PPI) network of an organism serves as a skeleton for its signaling circuitry, which mediates cellular response to environmental and genetic cues. Understanding this circuitry could improve the prediction of gene function and cellular behavior in response to diverse signals. To realize this potential, one has to comprehensively map PPIs and their directions of signal flow. While the quality and the volume of identified human PPIs improved dramatically over the last decade, the directions of these interactions are still mostly unknown, thus precluding subsequent prediction and modeling efforts. Here we present a systematic approach to orient the human PPI network using drug response and cancer genomic data. We provide a diffusion-based method for the orientation task that significantly outperforms existing methods. The oriented network leads to improved prioritization of cancer driver genes and drug targets compared to the state-of-the-art unoriented network.
机译:生物体的蛋白质 - 蛋白质相互作用(PPI)网络用作其信号电路的骨架,其介导细胞响应对环境和遗传线索。理解该电路可以改善基因函数的预测和响应不同信号的蜂窝行为。为了实现这种潜力,必须全面地映射PPI和它们的信号流方向。虽然在过去十年中,所识别人体PPI的质量和体积急剧提高,但这些相互作用的方向仍然是大多数未知数,从而排除后续预测和建模努力。在这里,我们提出了一种使用药物反应和癌症基因组数据定向人PPI网络的系统方法。我们提供了一种基于扩散的方法,用于方向任务显着优于现有方法。与最先进的无知网络相比,面向网络导致癌症驾驶基因和药物目标的优先级提高。

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