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首页> 外文期刊>Journal of Molecular Biology >Correlated sequence-signatures as markers of protein-protein interaction.
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Correlated sequence-signatures as markers of protein-protein interaction.

机译：相关的序列签名作为蛋白质-蛋白质相互作用的标记。

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摘要

As protein-protein interaction is intrinsic to most cellular processes, the ability to predict which proteins in the cell interact can aid significantly in identifying the function of newly discovered proteins, and in understanding the molecular networks they participate in. Here we demonstrate that characteristic pairs of sequence-signatures can be learned from a database of experimentally determined interacting proteins, where one protein contains the one sequence-signature and its interacting partner contains the other sequence-signature. The sequence-signatures that recur in concert in various pairs of interacting proteins are termed correlated sequence-signatures, and it is proposed that they can be used for predicting putative pairs of interacting partners in the cell. We demonstrate the potential of this approach on a comprehensive database of experimentally determined pairs of interacting proteins in the yeast Saccharomyces cerevisiae. The proteins in this database have been characterized by their sequence-signatures, as defined by the InterPro classification. A statistical analysis performed on all possible combinations of sequence-signature pairs has identified those pairs that are over-represented in the database of yeast interacting proteins. It is demonstrated how the use of the correlated sequence-signatures as identifiers of interacting proteins can reduce significantly the search space, and enable directed experimental interaction screens. Copyright 2001 Academic Press.
机译：由于蛋白质与蛋白质的相互作用是大多数细胞过程所固有的，因此预测细胞中哪些蛋白质相互作用的能力可以极大地帮助识别新发现的蛋白质的功能，并有助于理解它们所参与的分子网络。在这里，我们证明了特征对可从实验确定的相互作用蛋白的数据库中获悉序列特征的组合，其中一种蛋白质包含一个序列特征，而其相互作用伴侣包含另一种序列特征。在各种相互作用的蛋白质对中一致出现的序列标记被称为相关序列标记，并且提出它们可以用于预测细胞中相互作用伙伴的推定对。我们在酵母酿酒酵母中实验确定的相互作用蛋白对的综合数据库上证明了这种方法的潜力。如InterPro分类所定义，该数据库中的蛋白质已通过其序列签名进行了表征。对序列签名对的所有可能组合进行的统计分析已经确定了那些在酵母相互作用蛋白数据库中过度代表的对。证明了使用相关的序列签名作为相互作用蛋白的标识符如何能够显着减少搜索空间，并实现定向实验相互作用筛选。版权所有2001学术出版社。

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