Suppr超能文献

在确定酵母蛋白质-蛋白质相互作用网络中蛋白质的进化速率时,蛋白质复合物形成能力比相互作用伙伴的特征更具优势。

Protein complex forming ability is favored over the features of interacting partners in determining the evolutionary rates of proteins in the yeast protein-protein interaction networks.

作者信息

Chakraborty Sandip, Kahali Bratati, Ghosh Tapash C

机构信息

Bioinformatics Centre, Bose Institute, P 1/12, C,I,T, Scheme VII M, Kolkata 700 054, India.

出版信息

BMC Syst Biol. 2010 Nov 12;4:155. doi: 10.1186/1752-0509-4-155.

Abstract

BACKGROUND

Evolutionary rates of proteins in a protein-protein interaction network are primarily governed by the protein connectivity and/or expression level. A recent study revealed the importance of the features of the interacting protein partners, viz., the coefficient of functionality and clustering coefficient in controlling the protein evolutionary rates in a protein-protein interaction (PPI) network.

RESULTS

By multivariate regression analysis we found that the three parameters: probability of complex formation, expression level and degree of a protein independently guide the evolutionary rates of proteins in the PPI network. The contribution of the complex forming property of a protein and its expression level led to nearly 43% of the total variation as observed from the first principal component. We also found that for complex forming proteins in the network, those which have partners sharing the same functional class evolve faster than those having partners belonging to different functional classes. The proteins in the dense parts of the network evolve faster than their counterparts which are present in the sparse regions of the network. Taking into account the complex forming ability, we found that all the complex forming proteins considered in this study evolve slower than the non-complex forming proteins irrespective of their localization in the network or the affiliation of their partners to same/different functional classes.

CONCLUSIONS

We have shown here that the functionality and clustering coefficient correlated with the degree of the protein in the protein-protein interaction network. We have identified the significant relationship of the complex-forming property of proteins and their evolutionary rates even when they are classified according to the features of their interacting partners. Our study implies that the evolutionarily constrained proteins are actually members of a larger number of protein complexes and this justifies why they have enhanced expression levels.

摘要

背景

蛋白质-蛋白质相互作用网络中蛋白质的进化速率主要由蛋白质的连接性和/或表达水平决定。最近的一项研究揭示了相互作用的蛋白质伙伴的特征,即功能系数和聚类系数在控制蛋白质-蛋白质相互作用(PPI)网络中蛋白质进化速率方面的重要性。

结果

通过多元回归分析,我们发现三个参数:复合物形成概率、表达水平和蛋白质的度独立地指导PPI网络中蛋白质的进化速率。从第一主成分观察到,蛋白质的复合物形成特性及其表达水平的贡献导致了近43%的总变异。我们还发现,对于网络中的复合物形成蛋白质,那些具有共享相同功能类别的伙伴的蛋白质比那些具有属于不同功能类别的伙伴的蛋白质进化得更快。网络密集部分的蛋白质比网络稀疏区域的对应蛋白质进化得更快。考虑到复合物形成能力,我们发现本研究中考虑的所有复合物形成蛋白质无论其在网络中的定位或其伙伴与相同/不同功能类别的归属如何,都比非复合物形成蛋白质进化得慢。

结论

我们在此表明,功能系数和聚类系数与蛋白质-蛋白质相互作用网络中蛋白质的度相关。我们已经确定了蛋白质的复合物形成特性与其进化速率之间的显著关系,即使它们根据其相互作用伙伴的特征进行分类。我们的研究表明,进化受限的蛋白质实际上是大量蛋白质复合物的成员,这就解释了为什么它们具有增强的表达水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7805/2998497/be406f7a3406/1752-0509-4-155-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验