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Understanding hydrogen-bond patterns in proteins using network motifs

机译:使用网络基序了解蛋白质中的氢键模式

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Protein structures can be viewed as networks of contacts (edges) between amino-acid residues (nodes). Here we dissect proteins into sub-graphs consisting of six nodes and their corresponding edges, with an edge being either a backbone hydrogen bond (H-bond) or a covalent interaction. Six thousand three hundred and twenty-two such sub-graphs were found in a large non-redundant dataset of high-resolution structures, from which 35 occur much more frequently than in a random model. Many of these significant sub-graphs (also called network motifs) correspond to sub-structures of a helices and beta-sheets, as expected. However, others correspond to more exotic sub-structures such as 3(10) helix, Schellman motif and motifs that were not defined previously. This topological characterization of patterns is very useful for producing a detailed differences map to compare protein structures. Here we analyzed in details the differences between NMR, molecular dynamics (MD) simulations and X-ray structures for Lysozyme, SH3 and the lambda repressor. In these cases, the same structures solved by NMR and simulated by MD showed small but consistent differences in their motif composition from the crystal structures, despite a very small root mean square deviation (RMSD) between them. This may be due to differences in the pair-wise energy functions used and the dynamic nature of these proteins.
机译:蛋白质结构可以看作是氨基酸残基(节点)之间的接触网络(边缘)。在这里,我们将蛋白质分解为包含六个节点及其对应边缘的子图,其中边缘为骨架氢键(H键)或共价相互作用。在高分辨率结构的大型非冗余数据集中发现了632个此类子图,与随机模型相比,其中35个出现的频率更高。正如预期的那样,许多这些重要的子图(也称为网络主题)对应于螺旋和β-折叠的子结构。但是,其他对应于更奇特的子结构,例如3(10)螺旋,谢尔曼主题和先前未定义的主题。模式的这种拓扑特征对于产生详细的差异图以比较蛋白质结构非常有用。在这里,我们详细分析了溶菌酶,SH3和λ阻遏物的NMR,分子动力学(MD)模拟和X射线结构之间的差异。在这些情况下,尽管它们之间的均方根偏差(RMSD)非常小,但通过NMR解析并通过MD模拟的相同结构显示出其基序组成与晶体结构的微小但一致的差异。这可能是由于所使用的成对能量函数和这些蛋白质的动态性质不同。

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