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Function prediction and protein networks.

机译:功能预测和蛋白质网络。

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摘要

In the genomics era, the interactions between proteins are at the center of attention. Genomic-context methods used to predict these interactions have been put on a quantitative basis, revealing that they are at least on an equal footing with genomics experimental data. A survey of experimentally confirmed predictions proves the applicability of these methods, and new concepts to predict protein interactions in eukaryotes have been described. Finally, the interaction networks that can be obtained by combining the predicted pair-wise interactions have enough internal structure to detect higher levels of organization, such as 'functional modules'.
机译:在基因组学时代,蛋白质之间的相互作用成为关注的焦点。用于预测这些相互作用的基因组语境方法已被定量应用,表明它们与基因组学实验数据至少处于同等地位。对实验证实的预测的调查证明了这些方法的适用性,并且已经描述了预测真核生物中蛋白质相互作用的新概念。最后,可以通过组合预测的成对交互获得的交互网络具有足够的内部结构来检测更高级别的组织,例如“功能模块”。

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