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首页> 外文期刊>Nucleic Acids Research >Voronoia: analyzing packing in protein structures.
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Voronoia: analyzing packing in protein structures.

机译:Voronoia:分析蛋白质结构中的堆积。

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The packing of protein atoms is an indicator for their stability and functionality, and applied in determining thermostability, in protein design, ligand binding and to identify flexible regions in proteins. Here, we present Voronoia, a database of atomic-scale packing data for protein 3D structures. It is based on an improved Voronoi Cell algorithm using hyperboloid interfaces to construct atomic volumes, and to resolve solvent-accessible and -inaccessible regions of atoms. The database contains atomic volumes, local packing densities and interior cavities calculated for 61 318 biological units from the PDB. A report for each structure summarizes the packing by residue and atom types, and lists the environment of interior cavities. The packing data are compared to a nonredundant set of structures from SCOP superfamilies. Both packing densities and cavities can be visualized in the 3D structures by the Jmol plugin. Additionally, PDB files can be submitted to the Voronoia server for calculation. This service performs calculations for most full-atomic protein structures within a few minutes. For batch jobs, a standalone version of the program with an optional PyMOL plugin is available for download. The database can be freely accessed at: http://bioinformatics.charite.de/voronoia.
机译:蛋白质原子的堆积是其稳定性和功能性的指标,并用于确定热稳定性,蛋白质设计,配体结合以及鉴定蛋白质中的柔性区域。在这里,我们介绍Voronoia,这是蛋白质3D结构原子级包装数据的数据库。它基于改进的Voronoi Cell算法,该算法使用双曲面界面构造原子体积,并解析溶剂可访问和不可访问的原子区域。该数据库包含根据PDB计算的61 318个生物单位的原子体积,局部堆积密度和内部空腔。每个结构的报告都按残基和原子类型总结了填充,并列出了内部空腔的环境。将装箱数据与SCOP超家族的一组非冗余结构进行比较。 Jmol插件可以在3D结构中可视化填充密度和模腔。此外,可以将PDB文件提交到Voronoia服务器进行计算。这项服务会在几分钟内为大多数完整原子的蛋白质结构执行计算。对于批处理作业,可以下载带有可选PyMOL插件的程序的独立版本。可以从以下网址免费访问该数据库:http://bioinformatics.charite.de/voronoia。

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