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Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks

机译:基于正交学和蛋白质-蛋白质相互作用网络的基本蛋白质迭代预测方法

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摘要

BackgroundIdentification of essential proteins plays a significant role in understanding minimal requirements for the cellular survival and development. Many computational methods have been proposed for predicting essential proteins by using the topological features of protein-protein interaction (PPI) networks. However, most of these methods ignored intrinsic biological meaning of proteins. Moreover, PPI data contains many false positives and false negatives. To overcome these limitations, recently many research groups have started to focus on identification of essential proteins by integrating PPI networks with other biological information. However, none of their methods has widely been acknowledged.
机译:背景必需蛋白质的鉴定在理解细胞存活和发育的最低要求方面起着重要作用。已经提出了许多利用蛋白质-蛋白质相互作用(PPI)网络的拓扑特征预测必需蛋白质的计算方法。但是,这些方法大多数都忽略了蛋白质的内在生物学意义。此外,PPI数据包含许多假阳性和假阴性。为了克服这些局限性,最近许多研究小组开始通过将PPI网络与其他生物学信息相结合来专注于鉴定必需蛋白。但是,没有一种方法被广泛认可。

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