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首页> 外文期刊>BMC Bioinformatics >Comparative analysis of thermophilic and mesophilic proteins using Protein Energy Networks
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Comparative analysis of thermophilic and mesophilic proteins using Protein Energy Networks

机译：使用蛋白质能量网络对嗜热和嗜温蛋白进行比较分析

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Background Thermophilic proteins sustain themselves and function at higher temperatures. Despite their structural and functional similarities with their mesophilic homologues, they show enhanced stability. Various comparative studies at genomic, protein sequence and structure levels, and experimental works highlight the different factors and dominant interacting forces contributing to this increased stability. Methods In this comparative structure based study, we have used interaction energies between amino acids, to generate structure networks called as Protein Energy Networks (PENs). These PENs are used to compute network, sub-graph, and node specific parameters. These parameters are then compared between the thermophile-mesophile homologues. Results The results show an increased number of clusters and low energy cliques in thermophiles as the main contributing factors for their enhanced stability. Further more, we see an increase in the number of hubs in thermophiles. We also observe no community of electrostatic cliques forming in PENs. Conclusion In this study we were able to take an energy based network approach, to identify the factors responsible for enhanced stability of thermophiles, by comparative analysis. We were able to point out that the sub-graph parameters are the prominent contributing factors. The thermophiles have a better-packed hydrophobic core. We have also discussed how thermophiles, although increasing stability through higher connectivity retains conformational flexibility, from a cliques and communities perspective.
机译：背景嗜热蛋白在高温下维持自身功能并发挥作用。尽管它们与嗜温同源物在结构和功能上相似，但它们显示出增强的稳定性。在基因组，蛋白质序列和结构水平上进行的各种比较研究以及实验工作都突出了导致这种稳定性提高的不同因素和主要相互作用力。方法在此基于比较结构的研究中，我们利用氨基酸之间的相互作用能生成了称为蛋白质能量网络（PEN）的结构网络。这些PEN用于计算网络，子图和节点特定的参数。然后在嗜热嗜温菌同系物之间比较这些参数。结果结果表明嗜热菌中簇和低能团的数量增加，这是它们增强稳定性的主要因素。此外，我们发现嗜热菌中的集线器数量有所增加。我们还没有观察到在笔会中形成静电集团的社区。结论在这项研究中，我们能够采用基于能量的网络方法，通过比较分析来确定造成嗜热菌稳定性增强的因素。我们能够指出，子图参数是主要的影响因素。嗜热剂具有更好填充的疏水核。我们还讨论了嗜热菌，尽管从群体和社区的角度来看，尽管通过更高的连通性来提高稳定性仍能保持构象灵活性。

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