Huang Yuanyuan, Bonett Stephen, Kloczkowski Andrzej, Jernigan Robert, Wu Zhijun
Program on Bioinformatics and Computational Biology, Department of Mathematics, Iowa State University, Ames, Iowa 50011, USA.
J Bioinform Comput Biol. 2012 Jun;10(3):1242007. doi: 10.1142/S0219720012420073.
P.R.E.S.S. is an R-package developed to allow researchers to get access to and manipulate a large set of statistical data on protein residue-level structural properties such as residue-level virtual bond lengths, virtual bond angles, and virtual torsion angles. A large set of high-resolution protein structures is downloaded and surveyed. Their residue-level structural properties are calculated and documented. The statistical distributions and correlations of these properties can be queried and displayed. Tools are also provided for modeling and analyzing a given structure in terms of its residue-level structural properties. In particular, new tools for computing residue-level statistical potentials and displaying residue-level Ramachandran-like plots are developed for structural analysis and refinement. P.R.E.S.S. has been released in R as an open source software package, with a user-friendly GUI, accessible and executable by a public user in any R environment. P.R.E.S.S. can also be downloaded directly at http://www.math.iastate.edu/press/.
P.R.E.S.S.是一个用R语言开发的软件包,旨在让研究人员能够获取和处理大量关于蛋白质残基水平结构特性的统计数据,如残基水平的虚拟键长、虚拟键角和虚拟扭转角。下载并调查了大量高分辨率蛋白质结构。计算并记录了它们的残基水平结构特性。可以查询和显示这些特性的统计分布及相关性。还提供了一些工具,用于根据给定结构的残基水平结构特性进行建模和分析。特别是,开发了用于计算残基水平统计势和显示残基水平类似拉氏图的新工具,用于结构分析和优化。P.R.E.S.S.已作为开源软件包在R语言中发布,具有用户友好的图形用户界面,任何R环境中的普通用户均可访问和执行。也可以直接从http://www.math.iastate.edu/press/下载P.R.E.S.S.