Suppr超能文献

分析枢纽蛋白中的热点区域组织。

Analysis of hot region organization in hub proteins.

机构信息

Center for Computational Biology and Bioinformatics and College of Engineering, Koc University, Rumeli Feneri Yolu, 34450 Sariyer Istanbul, Turkey.

出版信息

Ann Biomed Eng. 2010 Jun;38(6):2068-78. doi: 10.1007/s10439-010-0048-9. Epub 2010 May 1.

Abstract

Protein interaction maps constructed from binary interactions reveal that some proteins are highly connected to others (acting as hub proteins), whereas some others have a few interactions (at the edges of the map). This paper addresses hub proteins from a structural point: interfaces. It investigates how hot spots are organized in hub proteins (hot regions). We annotate interfaces as the ones between two date-hubs (DD), two party hubs (PP), and two non-hubs (NN). We investigate the physico-chemical properties of these three types of interfaces focusing on the accessible surface area distribution, hot region organization, and amino acid composition differences. Results reveal that there are significant differences between DD and PP interfaces. More of the hot spots are organized into the hot regions in DD interfaces compared to PP ones. A high fraction of the interfaces are covered by hot regions in DD interfaces. There are more distinct hot regions in DDs. Since the same (or overlapping) DD interfaces should be used repeatedly, different hot regions can be used to bind to different partners. Further, these hot region characteristics can be used to predict whether a given hub interface is involved in a DD or a PP interface type with 80% accuracy.

摘要

从二项相互作用构建的蛋白质相互作用图谱表明,一些蛋白质与其他蛋白质高度连接(作为枢纽蛋白质),而另一些蛋白质则只有少数相互作用(处于图谱边缘)。本文从结构角度研究了枢纽蛋白质(即热点):界面。研究了热点如何在枢纽蛋白质(热点区域)中组织。我们将界面注释为两个日期枢纽(DD)之间、两个政党枢纽(PP)之间以及两个非枢纽(NN)之间的界面。我们研究了这三种类型的界面的物理化学特性,重点关注可及表面积分布、热点区域组织和氨基酸组成差异。结果表明,DD 和 PP 界面之间存在显著差异。与 PP 界面相比,DD 界面中更多的热点组织成热点区域。DD 界面覆盖有热点区域的比例较高。DD 中有更多明显的热点区域。由于相同(或重叠)的 DD 界面应该被重复使用,因此可以使用不同的热点区域来与不同的配体结合。此外,这些热点区域特征可用于以 80%的准确率预测给定的枢纽界面是参与 DD 还是 PP 界面类型。

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