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蛋白质相互作用网络中的必需性与中心性再探讨

Essentiality and centrality in protein interaction networks revisited.

作者信息

Khuri Sawsan, Wuchty Stefan

机构信息

Department of Computer Science, University of Miami, Coral Gables, FL, 33146, USA.

Center for Computational Science, University of Miami, Coral Gables, FL, 33146, USA.

出版信息

BMC Bioinformatics. 2015 Apr 1;16:109. doi: 10.1186/s12859-015-0536-x.

Abstract

BACKGROUND

Minimum dominating sets (MDSet) of protein interaction networks allow the control of underlying protein interaction networks through their topological placement. While essential proteins are enriched in MDSets, we hypothesize that the statistical properties of biological functions of essential genes are enhanced when we focus on essential MDSet proteins (e-MDSet).

RESULTS

Here, we determined minimum dominating sets of proteins (MDSet) in interaction networks of E. coli, S. cerevisiae and H. sapiens, defined as subsets of proteins whereby each remaining protein can be reached by a single interaction. We compared several topological and functional parameters of essential, MDSet, and essential MDSet (e-MDSet) proteins. In particular, we observed that their topological placement allowed e-MDSet proteins to provide a positive correlation between degree and lethality, connect more protein complexes, and have a stronger impact on network resilience than essential proteins alone. In comparison to essential proteins we further found that interactions between e-MDSet proteins appeared more frequently within complexes, while interactions of e-MDSet proteins between complexes were depleted. Finally, these e-MDSet proteins classified into functional groupings that play a central role in survival and adaptability.

CONCLUSIONS

The determination of e-MDSet of an organism highlights a set of proteins that enhances the enrichment signals of biological functions of essential proteins. As a consequence, we surmise that e-MDSets may provide a new method of evaluating the core proteins of an organism.

摘要

背景

蛋白质相互作用网络的最小支配集(MDSet)可通过其拓扑位置来控制潜在的蛋白质相互作用网络。虽然必需蛋白在MDSet中富集,但我们推测,当我们关注必需MDSet蛋白(e-MDSet)时,必需基因生物学功能的统计特性会得到增强。

结果

在此,我们确定了大肠杆菌、酿酒酵母和人类相互作用网络中的蛋白质最小支配集(MDSet),其被定义为蛋白质的子集,通过单一相互作用可到达其余每个蛋白质。我们比较了必需蛋白、MDSet蛋白和必需MDSet(e-MDSet)蛋白的几个拓扑和功能参数。特别是,我们观察到它们的拓扑位置使e-MDSet蛋白能够在度和致死性之间提供正相关,连接更多的蛋白质复合物,并且比单独的必需蛋白对网络弹性有更强的影响。与必需蛋白相比,我们还发现e-MDSet蛋白之间的相互作用在复合物中更频繁出现,而e-MDSet蛋白在复合物之间的相互作用则减少。最后,这些e-MDSet蛋白分类为在生存和适应性中起核心作用的功能分组。

结论

确定生物体的e-MDSet突出了一组增强必需蛋白生物学功能富集信号的蛋白质。因此,我们推测e-MDSet可能提供一种评估生物体核心蛋白的新方法。

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