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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >A CHEMICAL GROUP GRAPH REPRESENTATION FOR EFFICIENT HIGH-THROUGHPUT ANALYSIS OF ATOMISTIC PROTEIN SIMULATIONS
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A CHEMICAL GROUP GRAPH REPRESENTATION FOR EFFICIENT HIGH-THROUGHPUT ANALYSIS OF ATOMISTIC PROTEIN SIMULATIONS

机译:化学组图表示法用于高效模拟蛋白质的高通量分析

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摘要

Graphs are rapidly becoming a powerful and ubiquitous tool for the analysis of protein structure and for event detection in dynamical protein systems. Despite their rise in popularity, however, the graph representations employed to date have shared certain features and parameters that have not been thoroughly investigated. Here, we examine and compare variations on the construction of graph nodes and graph edges. We propose a graph representation based on chemical groups of similar atoms within a protein rather than residues or secondary structure and find that even very simple analyses using this representation form a powerful event detection system with significant advantages over residue-based graph representations. We additionally compare graph edges based on probability of contact to graph edges based on contact strength and analyses of the entire graph structure to an alternative and more computationally tractable node-based analysis. We develop the simplest useful technique for analyzing protein simulations based on these comparisons and use it to shed light on the speed with which static protein structures adjust to a solvated environment at room temperature in simulation.
机译:在动态蛋白质系统中,图形正迅速成为一种功能强大且无处不在的工具,用于分析蛋白质结构和进行事件检测。尽管它们越来越流行,但是迄今为止所采用的图形表示具有某些特征和参数,这些特征和参数尚未得到充分研究。在这里,我们检查并比较了图节点和图边的构造变化。我们提出了一种基于蛋白质内相似原子的化学基团而不是残基或二级结构的图形表示,并发现即使使用该表示进行非常简单的分析也可以形成功能强大的事件检测系统,该系统比基于残基的图形表示具有明显的优势。此外,我们还将基于接触概率的图边缘与基于接触强度的图边缘进行比较,并对整个图结构进行分析,以进行另一种基于节点的替代性分析,并且这种计算更具可处理性。我们基于这些比较,开发了用于分析蛋白质模拟的最简单有用的技术,并用它来揭示静态蛋白质结构在室温下适应溶剂化环境的速度。

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