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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >P.R.E.S.S. | AN R-PACKAGE FOR EXPLORING RESIDUAL-LEVEL PROTEIN STRUCTURAL STATISTICS
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P.R.E.S.S. | AN R-PACKAGE FOR EXPLORING RESIDUAL-LEVEL PROTEIN STRUCTURAL STATISTICS

机译：按。 |用于探索残留水平蛋白质结构统计信息的R包

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摘要

P.R.E.S.S. is an R-package developed to allow researchers to get access to and manipulate a largenset of statistical data on protein residue-level structural properties such as residue-level virtualnbond lengths, virtual bond angles, and virtual torsion angles. A large set of high-resolution proteinnstructures is downloaded and surveyed. Their residue-level structural properties are calculatednand documented. The statistical distributions and correlations of these properties can be queriednand displayed. Tools are also provided for modeling and analyzing a given structure in terms of itsnresidue-level structural properties. In particular, new tools for computing residue-level statisticalnpotentials and displaying residue-level Ramachandran-like plots are developed for structuralnanalysis and re¯nement. P.R.E.S.S. has been released in R as an open source software package,nwith a user-friendly GUI, accessible and executable by a public user in any R environment.nP.R.E.S.S. can also be downloaded directly at http://www.math.iastate.edu/press/.
机译：按。是一个R软件包，旨在让研究人员能够访问和操纵有关蛋白质残基水平结构特性的大量统计数据，例如残基水平虚拟键长度，虚拟键角和虚拟扭转角。下载并调查了大量高分辨率的蛋白质结构。计算并记录了它们的残基级结构性质。可以查询和显示这些属性的统计分布和相关性。还提供了用于根据残留水平结构性质对给定结构进行建模和分析的工具。特别是，开发了用于计算残基级统计势和显示残基级Ramachandran样图的新工具，用于结构分析和修正。按。已在R中作为开放源代码软件包发布，并具有易于使用的GUI，可供任何R环境中的公共用户访问和执行.nP.R.E.S.S。也可以直接从http://www.math.iastate.edu/press/下载。

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