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首页> 外文期刊>BMC Bioinformatics >Correlation analysis of the side-chains conformational distribution in bound and unbound proteins
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Correlation analysis of the side-chains conformational distribution in bound and unbound proteins

机译:结合蛋白和未结合蛋白中侧链构象分布的相关性分析

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Background Protein interactions play a key role in life processes. Characterization of conformational properties of protein-protein interactions is important for understanding the mechanisms of protein association. The rapidly increasing amount of experimentally determined structures of proteins and protein-protein complexes provides foundation for research on protein interactions and complex formation. The knowledge of the conformations of the surface side chains is essential for modeling of protein complexes. The purpose of this study was to analyze and compare dihedral angle distribution functions of the side chains at the interface and non-interface areas in bound and unbound proteins. Results To calculate the dihedral angle distribution functions, the configuration space was divided into grid cells. Statistical analysis showed that the similarity between bound and unbound interface and non-interface surface depends on the amino acid type and the grid resolution. The correlation coefficients between the distribution functions increased with the grid spacing increase for all amino acid types. The Manhattan distance showing the degree of dissimilarity between the distribution functions decreased accordingly. Short residues with one or two dihedral angles had higher correlations and smaller Manhattan distances than the longer residues. Met and Arg had the slowest growth of the correlation coefficient with the grid spacing increase. The correlations between the interface and non-interface distribution functions had a similar dependence on the grid resolution in both bound and unbound states. The interface and non-interface differences between bound and unbound distribution functions, caused by biological protein-protein interactions or crystal contacts, disappeared at the 70° grid spacing for interfaces and 30° for non-interface surface, which agrees with an average span of the side-chain rotamers. Conclusions The two-fold difference in the critical grid spacing indicates larger conformational changes upon binding at the interface than at the rest of the surface. At the same time, transitions between rotamers induced by interactions across the interface or the crystal packing are rare, with most side chains having local readjustments that do not change the rotameric state. The analysis is important for better understanding of protein interactions and development of flexible docking approaches.
机译:背景蛋白相互作用在生命过程中起关键作用。蛋白质-蛋白质相互作用的构象性质的表征对于理解蛋白质缔合的机制很重要。实验确定的蛋白质和蛋白质-蛋白质复合物结构的迅速增加为蛋白质相互作用和复合物形成的研究奠定了基础。表面侧链构象的知识对于蛋白质复合物的建模至关重要。这项研究的目的是分析和比较结合和未结合蛋白中界面和非界面区域的侧链二面角分布函数。结果为了计算二面角分布函数,将配置空间划分为网格单元。统计分析表明,结合和未结合界面与非界面表面之间的相似性取决于氨基酸类型和网格分辨率。对于所有氨基酸类型,分布函数之间的相关系数都随着网格间距的增加而增加。显示分布函数之间不相似程度的曼哈顿距离相应减少。具有一个或两个二面角的短残基比较长的残基具有更高的相关性和更小的曼哈顿距离。随着网格间距的增加,Met和Arg的相关系数增长最慢。界面和非界面分布函数之间的相关性在绑定和未绑定状态下对网格分辨率都有相似的依赖性。由生物蛋白质-蛋白质相互作用或晶体接触导致的结合和非结合分布函数之间的界面和非界面差异在界面的70°网格间距和非界面的30°网格间距处消失,这与平均跨度一致侧链旋转器。结论临界网格间距的两倍差异表明,结合处的构象变化大于表面的其余部分。同时,通过跨界面或晶体堆积的相互作用引起的旋转异构体之间的转变很少,大多数侧链具有不改变旋转异构状态的局部重新调节。该分析对于更好地理解蛋白质相互作用和开发灵活的对接方法非常重要。

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