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Structural analysis of hubs in human NR-RTK network

机译:NR-RTK网络中集线器的结构分析

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Background Currently a huge amount of protein-protein interaction data is available therefore extracting meaningful ones are a challenging task. In a protein-protein interaction network, hubs are considered as key proteins maintaining function and stability of the network. Therefore, studying protein-protein complexes from a structural perspective provides valuable information for predicted interactions. Results In this study, we have predicted by comparative modelling and docking methods protein-protein complexes of hubs of human NR-RTK network inferred from our earlier study. We found that some interactions are mutually excluded while others could occur simultaneously. This study revealed by structural analysis the key role played by Estrogen receptor (ESR1) in mediating the signal transduction between human Receptor Tyrosine kinases (RTKs) and nuclear receptors (NRs). Conclusions Although the methods require human intervention and judgment, they can identify the interactions that could occur together or ones that are mutually exclusive. This adds a fourth dimension to interaction network, that of time, and can assist in obtaining concrete predictions consistent with experiments. Open peer review This article was reviewed by Dr. Anthony Almudevar, Prof. James Faeder and Prof. Eugene Koonin. For the full reviews, please go to the Reviewers' comments.
机译:背景技术目前可获得大量蛋白质-蛋白质相互作用数据,因此提取有意义的数据是一项艰巨的任务。在蛋白质-蛋白质相互作用网络中,集线器被认为是维持网络功能和稳定性的关键蛋白质。因此,从结构的角度研究蛋白质-蛋白质复合物可为预测的相互作用提供有价值的信息。结果在本研究中,我们已经通过比较建模和对接方法预测了从我们先前的研究中推断出的人类NR-RTK网络中心的蛋白质-蛋白质复合物。我们发现,某些交互被互斥,而其他交互可能同时发生。这项研究通过结构分析揭示了雌激素受体(ESR1)在介导人受体酪氨酸激酶(RTKs)与核受体(NRs)之间的信号转导中的关键作用。结论尽管这些方法需要人工干预和判断,但它们可以识别可能一起发生的相互作用或相互排斥的相互作用。这增加了交互网络的时间维度,并可以帮助获得与实验一致的具体预测。公开同行评审本文由Anthony Almudevar博士,James Faeder教授和Eugene Koonin教授审阅。有关完整的评论,请转到评论者的评论。

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